Adaptive intelligence and shared infrastructure lending transaction enablement platform

Abstract

To provide a system, a method, and a device for automatically executing an activity based on a loan.SOLUTION: A loan platform to start an automated loan action, includes a block chain service circuit that interprets an access control function corresponding to a party related to a loan, a data collection circuit that interprets entity information, a smart contract circuit that designates a loan condition, and a loan management circuit. The loan management circuit interprets a loan-related event in accordance with the entity information, a plurality of the access control functions, and the loan condition, and implements the loan-related activity. In order to facilitate communication among the circuits in a system, each of the block chain service circuit, the data collection circuit, the smart contract circuit, and the loan management circuit further includes the corresponding application programming interface (API) component.SELECTED DRAWING: Figure 51

Description

Technical Field

[0001] (Cross - reference to related applications) This application claims the benefit of priority of the following U.S. provisional patent applications: U.S. Ser. No. 62 / 751,713, filed Oct. 29, 2018, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES" (Attorney Docket No. SFTX-0003-P01); U.S. Ser. No. 62 / 843,992, filed May 6, 2019, entitled "ADAPTIVE INTELLIGENCE AND SHARED INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM WITH ROBOTIC PROCESS ARCHITECTURE" (Attorney Docket No. SFTX-0005-P01); U.S. Ser. No. 62 / 818,100, filed Mar. 13, 2019, entitled "ROBOTIC PROCESS AUTOMATION ARCHITECTURE, SYSTEMS AND METHODS IN TRANSACTION ENVIRONMENTS" (Attorney Docket No. SFTX-0006-P01); U.S. Ser. No. 62 / 843,455, filed May 5, 2019, entitled "ADAPTIVE INTELLIGENCE AND SHARED INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM WITH ROBOTIC PROCESS ARCHITECTURE" (Attorney Docket No. SFTX-0007-P01); and U.S. Ser. No. 62 / 843,456, filed May 5, 2019, entitled "ADAPTIVE INTELLIGENCE AND SHARED INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM WITH ROBOTIC PROCESS ARCHITECTURE" (Attorney Docket No. SFTX-0008-P01).

[0002] This application also claims the benefit of priority and is a partial continuation of PCT Application PCT / US2019 / 030934 (Attorney Docket No. SFTX-0004-WO), filed May 6, 2019, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES". PCT Application PCT / US2019 / 030934 (Attorney Docket No. SFTX-0004-WO) claims the benefit of priority to the following U.S. provisional patent applications: U.S. Provisional Application No. 62 / 787,206 (Attorney Docket No. SFTX-0001-P01), filed Dec. 31, 2018, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES"; and U.S. Provisional Application No. 62 / 751,713 (Attorney Docket No. SFTX-0003-P01), filed Oct. 29, 2018, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATATE EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER RESOURCES".

[0003] Each of the foregoing applications is hereby incorporated by reference in its entirety. BACKGROUND OF THE INVENTION

[0004] (Field) This application relates to the field of lending, and more particularly, to the field of adaptive intelligent systems used to enable lending transactions.

[0005] (Description of Related Art) Lending transactions provide funds for various needs such as housing, education, corporate and government projects, and enable lenders to obtain a financial return. However, lending transactions have many problems, such as information opacity and asymmetry, moral hazard due to transferring the results of risks and inappropriate behaviors, complexity of the application and negotiation processes, burdensome regulations and policy systems, difficulty in judging the value of property serving as collateral or debt backing, and difficulty in judging the reliability and financial status of business entities. There is a need for a lending system that solves such problems in lending transactions and the lending environment. SUMMARY OF THE INVENTION

[0006] Provided herein is a lending transaction enabling platform having a series of data integration microservices including data collection and monitoring services, blockchain services, and smart contract services for processing lending entities and transactions. This platform can enable a wide range of dedicated solutions, these solutions can share data collection and storage infrastructure, and can also share or exchange inputs, events, activities, and outputs so as to enhance learning, enable automation, and enable adaptable intelligence among various solutions.

[0007] In an embodiment, a lending platform is provided having the Internet of Things and a sensor platform for monitoring at least one of a series of assets and a series of collateral for loan, bond, or liability transactions.

[0008] In an embodiment, a lending platform is provided that has a smart contract and a distributed ledger platform for managing at least one of the ownership of a set of collateral and a set of events related to the set of collateral.

[0009] In an embodiment, a lending platform is provided that has a smart contract system for automatically adjusting the interest rate of a loan based on information collected through at least one of the Internet of Things system, the crowdsourcing system, the set of social network analysis services, and the set of data collection and monitoring services.

[0010] In an embodiment, a lending platform is provided that has a crowdsourcing system for obtaining information regarding at least one of the status of a set of collateral for a loan and the status of an entity related to a guarantee for the loan.

[0011] In an embodiment, a lending platform is provided that has a smart contract for automatically adjusting the interest rate of a loan based on at least one of regulatory factors and market factors in a specific jurisdiction.

[0012] In an embodiment, a lending platform is provided that has a smart contract for automatically restructuring a debt based on a monitored status.

[0013] In an embodiment, a lending platform is provided that has a social network monitoring system for verifying the reliability of a guarantee for a loan.

[0014] In an embodiment, a lending platform is provided that has an Internet of Things data collection and monitoring system for verifying the reliability of a guarantee for a loan.

[0015] In an embodiment, a lending platform having a robotic process automation system for negotiating a set of terms and conditions for a loan is provided.

[0016] In an embodiment, a lending platform having a robotic process automation system for loan collection is provided.

[0017] In an embodiment, a lending platform having a robotic process automation system for integrating a set of loans is provided.

[0018] In an embodiment, a lending platform having a robotic process automation system for managing factoring loans is provided.

[0019] In an embodiment, a lending platform having a robotic process automation system for brokering home loans is provided.

[0020] In an embodiment, a lending platform equipped with a crowdsourcing and automatic classification system for verifying the conditions of bond issuers is provided.

[0021] In an embodiment, a lending platform having a social network monitoring system with artificial intelligence for classifying conditions related to bonds is provided.

[0022] In an embodiment, a lending platform having an Internet of Things data collection and monitoring system with artificial intelligence for classifying conditions related to bonds is provided.

[0023] In an embodiment, a lending platform having a system for changing the conditions of a loan with incentives based on parameters monitored by IoT is provided.

[0024] In an embodiment, a lending platform is provided that has a system for changing the terms of a loan with a bonus based on parameters monitored in a social network.

[0025] In an embodiment, a lending platform is provided that has a system for changing the terms of a loan with a subsidy based on parameters monitored by crowdsourcing.

[0026] In an embodiment, a lending platform is provided that has an automated blockchain custody service for managing a series of custodial assets.

[0027] In an embodiment, a lending platform is provided that has a loan underwriting system with a set of data-integrated microservices including data collection and monitoring services, blockchain services, artificial intelligence services, and smart contract services for underwriting lending entities and transactions.

[0028] In an embodiment, a lending platform is provided that has a loan marketing system with a series of data-integrated microservices including data collection and monitoring services, blockchain services, artificial intelligence services, and smart contract services for marketing loans to a series of prospective customers.

[0029] In an embodiment, a lending platform is provided that has a rating system with a set of data-integrated microservices including data collection and monitoring services, blockchain services, artificial intelligence services, and smart contract services for rating a set of loan-related entities.

[0030] In an embodiment, a lending platform having a compliance system is provided, which includes a series of data integration microservices including data collection and monitoring services, blockchain services, artificial intelligence services, and smart contract services to automatically facilitate compliance with at least one of the laws, regulations, and policies applied to lending transactions.

Brief Description of the Drawings

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Embodiments for Carrying Out the Invention

[0114] The terms "service / microservice" (and similar terms) used in this specification should be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, a service / microservice includes any system (or platform) configured to functionally execute the operation of a service, where the system may be an integrated one including a data collection circuit, a blockchain circuit, an artificial intelligence circuit, and / or a smart contract circuit for processing lending entities and transactions. A service / microservice can facilitate data handling and include facilities for data extraction, transformation, and loading, facilities for data cleansing and deduplication, facilities for data normalization, facilities for data synchronization, facilities for data security, facilities for computing (e.g., facilities for executing predefined computing operations on a data stream and providing an output stream), facilities for compression and decompression, facilities for analysis (such as automatically generating data visualization), facilities for data processing, and / or facilities for data storage (including storage retention, formatting, compression, migration, etc.).

[0115] A service / microservice includes a controller, a processor, a network infrastructure, input / output devices, a server, a client device (e.g., a laptop, a desktop, a terminal, a mobile device, and / or a dedicated device), a sensor (e.g., one or more entities, devices, and / or IoT sensors associated with security), an actuator (e.g., an automatic lock, a notification device, a light, a camera control, etc.), one or more virtualized versions of any of the foregoing (e.g., outsourced computing resources such as cloud storage, computing operations, virtual sensors, subscribed data such as stock prices and commodity prices, record logs, etc.), and / or a component configured as computer-readable instructions that, when executed by a processor, cause the processor to perform one or more functions of the service. The service may be distributed across a number of devices and / or the functions of the service may be performed by one or more devices that cooperate to perform a given function of the service.

[0116] A service / microservice can include application programming interfaces that facilitate connections between components of a system (e.g., microservices) that execute the service and entities external to the system (e.g., programs, websites, user devices, etc.). Without being limited to other aspects of the present disclosure, exemplary microservices that may exist in certain embodiments include: (a) a multimodal set of data collection circuits that collect and monitor information regarding entities related to lending transactions; (b) a blockchain circuit for maintaining a secure ledger of lending-related events, the blockchain circuit having an access control function that manages access by a set of parties involved in the lending; (c) a set of application programming interfaces, data integration services, data processing workflows, and user interfaces for processing lending-related events and activities related to a loan; and (d) a smart contract circuit for specifying the conditions of a smart contract that manages at least one of loan conditions, lending-related events, and lending-related activities. Any of the services / microservices may be controlled by a controller or have control over a controller. A particular system may not be considered a service / microservice. For example, a POS device that simply bills a cost set for a product or service may not be a service. In another example, a service that tracks the cost of a product or service and issues a notification when the value changes may not be an evaluation service itself, but may depend on an evaluation service or may form part of an evaluation service in certain embodiments.A given circuit, controller, or device may be a service or part of a service in certain embodiments, such as when the function or ability of the circuit, controller, or device is configured to support the services or microservices described herein, but may not be a service or part of a service in other embodiments (e.g., when the function or ability of the circuit, controller, or device is not related to the services or microservices described herein). In another example, a mobile device operated by a user can form part of the service described herein at a first point in time (e.g., when the user accesses the functionality of the service via an application or other communication from the mobile device and / or when a monitoring function is being executed via the mobile device), but may not form part of the service at a second point in time (e.g., after a transaction is completed, after the user uninstalls an application, and / or when the monitoring function is stopped and / or transferred to another device). Thus, the advantages of the present disclosure can be applied to a wide variety of processes or systems, any of which can be considered a service (or part of a service) herein.

[0117] Given the benefits of the disclosure herein and the knowledge of the systems that one would typically have available, those of ordinary skill in the art can readily determine which aspects of the disclosure would benefit a particular system, how to combine and construct the processes and systems of the disclosure to provide performance characteristics (e.g., bandwidth, computing power, time response, etc.) and / or operational capabilities (e.g., uptime requirements including time between checks, longitudinal (e.g., continuous operation time) and / or sequential (e.g., time of day, calendar time, etc.)). The time between checks, longitudinal (e.g., continuous operation time) and / or sequential (e.g., time of day, calendar time, etc.) uptime requirements, sensing resolution and / or accuracy, data determination (e.g., accuracy, timing, data volume), and / or actuator confirmation capabilities of the components of the service are provided that are sufficient to provide a given implementation of the services, platforms, and / or microservices described herein. When determining the configuration of components, circuits, controllers, and / or devices for implementing the services, platforms, and / or microservices (referred to as "services" in the following list) described herein, specific considerations that those of ordinary skill in the art should take into account include, but are not limited to: the balance of capital costs versus operating costs when implementing and operating the service, the availability, speed, and / or bandwidth of network services available to system components, service users, and / or other entities that interact with the service, the response time of considerations for the service (e.g., how quickly decisions within the service must be made, etc.), the response time when considering the service (e.g., how quickly decisions within the service must be made to support the commercial functions of the service, the operating times of various artificial intelligence and other advanced computational processes), and / or the capital or operating costs to support a given response time; the location of the interacting components of the service and the impact of such location on the operation of the service (e.g., location of data storage, associated regulatory schemes, and / or the impact of such location on the operation of the service).The location of components that interact with the service and the impact such locations have on the operation of the service (e.g., regulatory schemes associated with the location of data storage, network communication restrictions and costs, power costs depending on the location, availability or unavailability of time zone support related to the service, etc.), the availability of specific types of sensors, the associated support for those sensors, and the availability of sufficient alternatives (e.g., cameras may require lighting support). Aspects of the fundamental value of the service side (e.g., principal amount of a loan, value of collateral, fluctuations in the value of collateral, lender, guarantor, net assets or relative net assets of the borrower, etc.), including the temporal sensitivity of the fundamental value (e.g., principal amount of a loan, value of collateral, fluctuations in the value of collateral, lender, guarantor, net assets or relative net assets of the borrower, etc.). Trust indicators between the parties to the transaction (performance history between the parties, credit rating, social rating, or other external indicators, compliance with industry standards or other standardized transaction types of activities related to the transaction, etc.), and / or the availability of cost recovery options (subscription, fee, payment for the service, etc.) for a given configuration and / or functionality of the service, platform, and / or microservice. Without being limited to other aspects of the present disclosure, specific operations performed by the services herein include performing real-time changes to a loan based on tracked data, executing a secured smart contract using the data, re-evaluating a debt transaction in response to a tracked state or data, etc. In this specification, for illustrative purposes, specific examples of services / microservices and considerations are described, but any system that benefits from the disclosure herein and any considerations understood by those skilled in the art who benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0118] Although not limited, services include financial services (e.g., loan transaction services), data collection services (e.g., data collection services for collecting and monitoring data), blockchain services (e.g., blockchain services for maintaining secure data), data integration services (e.g., data integration services for aggregating data), smart contract services (e.g., smart contract services (e.g., smart contract services for determining aspects of smart contracts)), software services (e.g., software services for extracting data related to an entity from a generally publicly available information site), crowdsourcing services (e.g., crowdsourcing services for soliciting and reporting information), Internet of Things services (e.g., Internet of Things services for monitoring the environment), publishing services (e.g., publishing services for publishing data), microservices (e.g., microservices (e.g., having a series of application programming interfaces to facilitate connections between microservices)), evaluation services (e.g., using an evaluation model to set the value of a guarantee based on information), artificial intelligence services, market value data collection services (e.g., monitoring and reporting market information), clustering services (e.g., grouping guarantee items based on similarity of attributes), social networking services (e.g., social networking services (e.g., services that enable setting of parameters of a social network)), asset identification services (e.g., services for identifying a series of assets held by a financial institution with responsibility), identity management services (e.g., services for a financial institution to verify identities and credentials), etc., and / or use similar functional terms.Examples of services that perform one or more functions in this specification include computing devices; servers; network devices; user interfaces; device - to - device interfaces such as communication protocols, shared information and / or information storage, and / or application programming interfaces (APIs); sensors (e.g., IoT sensors operably coupled to monitored components, devices, locations, etc.); distributed ledgers; circuits; and / or computer - readable code configured to cause a processor to perform one or more functions of the service. One or more aspects or components of the services in this specification may be distributed across a number of devices and / or may be aggregated, in whole or in part, on a given device. In embodiments, aspects or components of the services in this specification may be at least partially implemented via circuits, such as, by way of non - limiting example, a data collection service at least partially implemented as a structured data collection circuit for collecting and monitoring data, a blockchain service at least partially implemented as a structured blockchain circuit for maintaining secure data, a data integration service at least partially implemented as a structured data integration circuit for aggregating data, a smart contract service at least partially implemented as a structured smart contract circuit for determining aspects of smart contracts, etc. A software service at least partially implemented as a software service circuit configured to extract data related to an entity from a published information site, a crowdsourcing service at least partially implemented as a cloud - sourcing circuit configured to solicit and report information, an Internet of Things service at least partially implemented as a Things Internet circuit configured to monitor the environment, a publishing service at least partially implemented as a publishing service circuit configured to publish data, a microservices service at least partially implemented as a microservices circuit configured to interconnect a plurality of service circuits.An evaluation service that is at least partially implemented as an evaluation service circuit for accessing an evaluation model for setting the value of a collateral object based on data, an artificial intelligence service that is at least partially implemented as an artificial intelligence service circuit, a market value data collection service that is at least partially implemented as a market value data collection service circuit for monitoring and reporting market information, a clustering service that is at least partially implemented as a clustering service circuit for grouping collateral objects based on attribute similarity. A social networking service that is at least partially implemented as a social networking analysis service circuit for setting parameters related to a social network, an asset identification service that is at least partially implemented as an asset identification service circuit for identifying a series of assets for which a financial institution is responsible for custody, an identity management service that is at least partially implemented as an identity management service circuit for a financial institution to verify identities and credentials, and so on. Therefore, the advantages of the present disclosure can be applied to a wide variety of systems, such systems can be considered with respect to the items and services herein, while in a particular embodiment, a given system can be considered not to be with respect to the items and services herein. A person skilled in the art, by having the benefit of the disclosure herein and knowledge of the intended systems that the person normally has access to, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Among the considerations that a person skilled in the art can consider in determining a configuration for a particular service are the following. Distribution devices and access devices available to one or more parties to a particular transaction, restrictions on jurisdiction regarding the storage, type, and communication of particular types of information, requirements or desirable aspects regarding the security and verification of information communication of the service, information collection, communication between parties, and algorithms of the service, response times of decisions made by machine learning components and / or artificial intelligence components.Considerations regarding the cost of services, including capital costs and operating costs, which parties or groups bear the costs, whether costs can be recovered through membership fees, service fees, etc., the amount of information stored and / or communicated to support the service, and / or the processing and computing capabilities utilized to support the service.

[0119] The term "items and services" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, items and services include items and services used as consideration, items and services used as collateral, items and services subject to negotiation, etc., and for example, the following. Products, services, offerings, solutions, physical products, software, service levels, service quality, financial products, liabilities, collateral items, service performance, other items, etc., applications for guarantees regarding items subject to loans, loan collateral, etc. Without limitation to other aspects or descriptions of the present disclosure, items and services include items and services applicable to physical items (e.g., vehicles, ships, airplanes, buildings, houses, real estate properties, undeveloped land, farms, crops, municipal facilities, warehouses, inventory sets, antiques, spare parts, furniture items, equipment items, tools, machinery items, and personal belongings items), financial items (e.g., commodities, securities, currency, valuable tokens, tickets, cryptocurrencies), consumables (e.g., edible items, beverages), high-value items (e.g., precious metals, gemstone items, gems), intellectual items (e.g., intellectual property items, intellectual property rights, contractual rights), etc. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system can be considered with respect to the items and services herein, while in certain embodiments, a given system may not be considered with respect to the items and services herein. One of ordinary skill in the art, by having the benefit of the disclosure herein and knowledge of the intended systems that the person normally has access to, can readily determine which aspects of the present disclosure provide benefits to a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system.

[0120] As used herein, the terms agent, automated agent, and similar terms are to be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, an agent or automated agent can process events related to at least one of the value, status, and ownership of an item of collateral or asset. Also, an agent or automated agent can take actions related to loans, debt transactions, bond transactions, subsidized loans, etc. to which the collateral or asset is subject, such as in response to the processed events. An agent or automated agent can interact with the market for purposes such as data collection, testing spot market transactions, and executing transactions. Here, the operation of a dynamic system includes complex interactions that a user can desire to understand, predict, control, and / or optimize. A particular system may not be considered an agent or automated agent. For example, if an event is merely collected and not processed, the system may not be an agent or automated agent. In some embodiments, if a loan-related action is taken that does not correspond to a processed event, it may not be performed by an agent or automated agent. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended system that the person normally has access to, can readily determine which aspects of the present disclosure include an agent or automated agent and / or receive the benefits of an agent or automated agent. Considerations specific to one of ordinary skill in the art, or for embodiments of the present disclosure related to agents or automated agents, include, but are not limited to, rules for determining when there is a change in the value, status, or ownership of an asset or collateral, and / or rules for determining whether the change warrants further action related to a loan or other transaction, and other considerations. Specific examples of market value and market information are described herein for illustrative purposes, but any embodiments that receive the benefit of the disclosure herein and any considerations understood by one of ordinary skill in the art who receives the benefit of the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0121] The market information, market value, and similar terms used in this specification are to be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, market information and market value describe the state or value of an asset, security, food, or service at a defined point in time or period. Market value may refer to the expected value assigned to an item in a market or auction setting, or the pricing and financial data of an item similar to the item, asset, or security in at least one public market. In the case of a company, the market value is the number of outstanding shares multiplied by the current share price. Valuation services may include market value data collection services that monitor and report market information related to the value (such as market value) of a security, issuer, set of bonds, set of assets, etc. A set of subsidized loans, parties, etc. Market value is inherently dynamic as it is influenced by various factors ranging from physical operating conditions to economic conditions and the dynamics of supply and demand. Market value may be affected by proximity to other assets, inventory and supply of the asset, demand for the asset, origin of the item, history of the item, current value underlying the components of the item, bankruptcy status of a company, seizure status of a company, default status of a company, regulatory violation status of a company, criminal status of a company, export control status of a company, embargo status of a company, etc., and these are included in market information. Export control status of an entity, embargo status of an entity, customs status of an entity, tax status of an entity, credit report of an entity, credit rating of an entity, website evaluation of an entity, set of customer reviews for the entity's products, social network evaluation of an entity, set of qualifications of an entity, set of introductions of an entity, set of testimonials of an entity, set of actions of an entity, location of an entity, and geographical location information of an entity. In certain embodiments, market value can include information such as volatility of value, sensitivity of value (e.g., relative relationship with other parameters having uncertainty associated therewith), and / or specific value of the object being evaluated to a particular party (e.g., the object may be more valuable to a first party than to a second party that owns it).

[0122] Certain information may not be market information or market value. For example, if the variables related to a certain value are not from the market, they may be use value or investment value. In certain embodiments, the investment value is considered to be market value (e.g., when the appraiser intends to use the asset as an investment if acquired), and in other embodiments, it may be considered not to be market value (e.g., when the appraiser intends to liquidate the investment immediately if acquired). A person skilled in the art, having benefited from the disclosure herein and having knowledge of the systems that are normally available to that person, can readily determine which aspects of the present disclosure benefit from market information or market value. For a person skilled in the art, specific considerations in determining whether the term market value refers to an asset, item, security, good, or service include the existence of other similar assets in the market, changes in value by location, the starting bid of an item exceeding the list price, and other considerations. Although specific examples of market value and market information are described herein for illustrative purposes, any embodiments that benefit from the disclosure herein, and any considerations understood by a person skilled in the art who benefits from the disclosure herein, are specifically contemplated within the scope of the present disclosure.

[0123] The term apportionment value or apportioned value and similar terms as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, an apportionment value describes the process of proportionally distributing or allocating value, or dividing and assigning value according to the rules of proportional distribution. The distribution of value may be among multiple parties (e.g., each of the multiple parties is a beneficiary of a portion of the value), among multiple transactions (e.g., each of the transactions utilizes a portion of the value), and / or in a many-to-many relationship (e.g., a group of objects has an aggregated value that is distributed among a number of parties and / or transactions). In some embodiments, the value may be a pure loss, and the apportioned value is the distribution of liabilities to each entity. In other embodiments, the apportioned value may refer to the distribution or assignment of economic benefits, real estate, security, etc. For example, when distributing $10 million in assets 50 / 50 between two parties, if the parties consider different values for the assets, one party may credit the distribution and different values may result from the distribution. For example, a first type of transaction (e.g., a long-term loan) may have a different asset valuation than a second type of transaction (e.g., a short-term credit line).

[0124] Certain conditions or processes may not be relevant to the allocated value. For example, the total value of an item can provide its intrinsic value, but it is not known how much value each identified entity holds. A person skilled in the art, having benefited from the disclosure herein and having knowledge of the allocated value, can readily determine which aspects of the present disclosure will benefit a particular application for the allocated value. Considerations for a person skilled in the art, or for a particular embodiment of the present disclosure regarding the allocated value, include, but are not limited to, the currency of the principal, the type of transaction expected (loan, bond, or debt), the type of specific collateral, the ratio of the loan to the value, the ratio of the collateral to the loan, the total transaction / loan amount, the amount of the principal, the number of entities incurring the debt, the value of the collateral, etc. Although specific examples of allocated values are described herein for illustrative purposes, any embodiment that benefits from the disclosure herein, and any considerations understood by a person skilled in the art that benefit from the disclosure herein, are specifically contemplated within the scope of the present disclosure.

[0125] The term "financial situation" and similar terms used in this specification are to be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, the financial situation represents the current status of a company's assets, liabilities, and capital position at a defined point in time or period. The financial situation may be recorded in financial statements. Also, the financial situation may include an assessment of the ability to overcome future risk scenarios and the ability to fulfill debts coming due in the future or at maturity. The financial situation may be based on a series of attributes selected from the public evaluation of the company, a series of properties owned by the company indicated by official documents, the evaluation of a series of properties owned by the company, the bankrupt state of the company, the seizure state of the company, the state of contract non - performance of the company, the state of regulatory violation of the company, the criminal state of the company, the state of export control of the company, the embargo state of the company, a series of attributes selected from a series of attributes owned by the company. The state of regulatory violation of an entity, the criminal state of an entity, the state of export control of an entity, the embargo state of an entity, the customs situation of an entity, the tax payment situation of an entity, the credit report of an entity, the credit rating of an entity, the website evaluation of an entity, a set of customer reviews for the products of an entity, the social network evaluation of an entity, a set of qualification information of an entity, a set of introductions of an entity, a set of testimonials of an entity, a set of actions of an entity, the location of an entity, and the geographical position of an entity. Also, the financial situation may represent the terms and thresholds of contracts or loans. For example, the conditions for a developer to proceed with development may be various certificates and agreement to financial payments. That is, whether a developer can proceed with development depends, in particular, on financial elements as conditions. A certain condition may not be a financial condition. For example, just the balance of a credit card may be a clue to knowing the financial situation, but it may not be considered the financial situation by itself. In another example, a payment schedule may determine how long a liability exists on a company's balance sheet, but it may not accurately provide the financial situation by itself. A person skilled in the art can, by obtaining the benefits of the disclosure in this specification and the knowledge of the intended system that the person normally has access to, easily determine which aspects of the present disclosure include the financial state and / or receive benefits from the financial state.When a person skilled in the art determines whether the term financial situation refers to the current situation of a company's assets, liabilities, and capital position at a defined point in time or period and / or for a given purpose, matters to be considered include the reporting of multiple financial data points, the ratio of loans to collateral value, the ratio of collateral to loans, the total transaction / loan amount, the credit scores of borrowers and lenders, and other considerations. Specific examples of financial conditions are described herein for illustrative purposes, but any embodiments that benefit from the disclosure herein and any considerations understood by a person skilled in the art who benefits from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0126] The term "interest rate" and similar terms as used herein are to be broadly understood. Without limitation to other aspects or descriptions of the present disclosure, an interest rate includes, as a percentage of the amount loaned, deposited, or borrowed, the amount of interest to be paid per period. The total amount of interest on the amount loaned or borrowed may depend on the principal amount, the interest rate, the frequency of compounding, and the period for which the amount is loaned, deposited, or borrowed. Typically, the interest rate is expressed as an annual rate, but it can also be defined for any period. The interest rate is related to the amount charged by a lender, such as a bank, for borrowing its money, or the interest rate paid by a bank or the like to a depositor for keeping money in an account. The interest rate can be variable or fixed. For example, the interest rate may vary according to instructions from the government or other stakeholders, the currency of the principal being lent or borrowed, the period until maturity of the investment, the perceived default probability of the borrower, demand and supply in the market, the amount of collateral, the economic situation, or special features such as call provisions. In certain embodiments, the interest rate may be a relative rate (e.g., a relative rate to a prime rate, an inflation index, etc.). In certain embodiments, the interest rate may further take into account the costs or fees (e.g., "points") applied to adjust the interest rate. While the real interest rate takes inflation into account, the nominal interest rate may not adjust for inflation. Specific examples may not be the interest rates for the purposes of certain embodiments. For example, a bank account growing at a fixed dollar amount per year and / or growing at a fixed fee amount may not be an example of an interest rate for certain embodiments. Those of ordinary skill in the art having knowledge of interest rates and benefiting from the disclosure herein can readily determine the characteristics of the interest rate for a particular embodiment. Those of ordinary skill in the art regarding interest rates, or specific considerations for embodiments of the present disclosure, include, but are not limited to, the following. The currency of the principal, the variables for setting the interest rate, the criteria for modifying the interest rate, the type of transaction expected (loan, bond, or debt), the type of specific collateral, the ratio of the loan to the value, the ratio of the collateral to the loan, the total transaction / loan amount, the amount of the principal, the appropriate life of the transaction and / or collateral in a particular industry, the likelihood that the lender will sell and / or consolidate the loan prior to the period, etc.Although specific examples of interest rates are set forth herein for purposes of illustration, any embodiments that benefit from the disclosure herein, and any considerations understood by one of ordinary skill in the art that benefit from the disclosure herein, are specifically contemplated within the scope of this disclosure.

[0127] The term "evaluation service" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, an evaluation service includes any service that sets a value on a good or service. An evaluation service may use an evaluation model to set a value for collateral based on information from data collection and monitoring services. A smart contract service may process outputs from a series of evaluation services, allocate collateral items sufficient to provide security for a loan, and / or distribute the value of collateral items among a series of lenders and / or transactions. An evaluation service may include an artificial intelligence service that iteratively improves an evaluation model based on result data related to a collateral transaction. An evaluation service may include a market value data collection service that monitors and reports market information related to the value of collateral. A certain process may not be considered an evaluation service. For example, a POS device that only bills a cost set for a good or service may not be an evaluation service. In another example, a service that tracks the cost of a good or service and provides a notification when the value changes may not be an evaluation service per se, but may depend on and / or form part of an evaluation service. Accordingly, the advantages of the present disclosure can be applied to a wide variety of process systems, any of which may be considered an evaluation service herein, while in a particular embodiment, a given service may not be considered an evaluation service herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person normally has available, can readily determine which aspects of the present disclosure will benefit a particular system and how to combine processes and systems from the present disclosure to enhance the operation of the intended system and / or provide an evaluation service.When a person skilled in the art determines whether the intended system is an evaluation service and / or whether aspects of the present disclosure will benefit the intended system, specific considerations include, but are not limited to, making real-time changes to a loan based on the value of collateral, executing a collateralized smart contract using market data, re-evaluating collateral based on storage status or geographical location, the tendency for collateral to have a volatile value, be utilized, and / or be transferred, and the like. Specific examples of evaluation services and considerations are described herein for illustrative purposes, but any system that benefits from the disclosure herein and any considerations understood by a person skilled in the art who benefits from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0128] The term "attributes of collateral" (and similar terms) as used in this specification should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, attributes of collateral include identification such as durability (the ability of the collateral to withstand wear or the useful life of the collateral), value, distinctiveness (whether the collateral has distinct characteristics that are identifiable or marketable), stability of value (whether the value is maintained over time), standardization, grading, quality, marketability, liquidity, transferability, desirability, etc. Stability of value (whether the collateral maintains its value over time), standardization, grading, quality, marketability, liquidity, transferability, desirability, traceability, deliverability (whether the collateral can be delivered or transferred without loss of value), market transparency (whether the value of the collateral is easily verifiable and widely agreed upon), there are physical or virtual ones. Attributes of collateral can be measured absolutely or relatively and can include qualitative (e.g., categorical descriptions) or quantitative descriptions. Collateral attributes may vary depending on different industries, products, elements, uses, etc. Collateral attributes can be assigned quantitative or qualitative values. Values associated with collateral attributes may be based on a scale (such as 1 - 10) or relative designations (high, low, good, etc.). Collateral includes various components, and each component can have attributes of collateral. Thus, collateral may have multiple values for the same collateral attribute. In some embodiments, multiple values of a collateral attribute can be combined to generate one value for each attribute. Some collateral attributes may only apply to specific parts of the collateral. Some collateral attributes may have different values depending on the specific component of the collateral and also depending on the stakeholder (e.g., a party that values a certain aspect of the collateral more highly than other parties) and / or the type of transaction (e.g., the collateral may be more valuable or appropriate for a first type of loan than a second type of loan). Specific attributes related to the collateral may not be the collateral attributes described herein, depending on the purpose of the collateral attributes in this specification.For example, a product may be evaluated as durable compared to similar products, but if the product's lifespan is much shorter than the period of a particular loan under consideration, the durability of the product may result in a different evaluation (e.g., not durable) or be irrelevant (e.g., if the current inventory of the product is attached as collateral and is expected to be replaced during the loan period). Thus, the advantages of the present disclosure can be applied to various attributes, any of which may be considered a collateral attribute herein, while in certain embodiments, a given attribute may not be considered a collateral attribute herein. A person of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the assumed collateral attributes that are normally available to that person, can readily determine which aspects of the present disclosure benefit a particular collateral attribute. Particular considerations in determining by a person of ordinary skill in the art whether an assumed attribute is a collateral attribute and / or whether an aspect of the present disclosure benefits an assumed system include, but are not limited to, the source of the attribute and the source of the attribute value (e.g., whether the attribute and the attribute value come from a reliable source), the variability of the attribute (e.g., whether the collateral attribute value varies, whether the attribute is a new attribute of the collateral), the relative differences in similar collateral attribute values, exceptional values of the attribute (e.g., some attribute values may be high. Exceptional values of the attribute (e.g., an attribute value as high as the 98th percentile or as very low as the 2nd percentile compared to similar classes of collateral), fungibility of the collateral, the type of transaction associated with the collateral, and / or the purpose for which the collateral is utilized for a particular party or transaction, etc. Specific examples of collateral attributes and considerations are described herein for illustrative purposes, but any system that benefits from the disclosure herein and any considerations understood by a person of ordinary skill in the art who has benefited from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0129] The term blockchain service (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a blockchain service includes any service related to the processing, recording, and / or updating of a blockchain, including services related to the processing of blocks, the calculation of hash values, the generation of new blocks within a blockchain, the addition of blocks to a blockchain, the creation of forks within a blockchain, the merging of forks within a blockchain, the verification of previous calculations, services for updating a shared ledger. The creation of forks within a blockchain, the merging of forks within a blockchain, the verification of previous calculations, the updating of a shared ledger, the updating of a distributed ledger, the generation of cryptographic keys, the verification of transactions, the maintenance of a blockchain, the updating of a blockchain, the verification of a blockchain, the generation of random numbers. The service may be executed by the execution of computer-readable instructions on a local computer and / or by remote servers and computers. Certain services may not be considered blockchain services individually, but may be considered blockchain services based on the ultimate use of the service and / or in certain embodiments. For example, the calculation of a hash value may be performed in a context outside of the blockchain, such as in the context of secure communication. Some initial services may be called without first being applied to the blockchain, but further actions or services that cooperate with the initial service may be able to associate the initial service with aspects of the blockchain. For example, random numbers may be generated periodically and stored in memory. The random numbers may be used by the blockchain even if they are not initially generated for blockchain purposes. Accordingly, the advantages of the present disclosure can be applied in a wide variety of services, any of which may be considered a blockchain service herein, while in certain embodiments, a given service may not be considered a blockchain service herein.A person of ordinary skill in the art, by having the benefit of the disclosure herein and knowledge of the intended blockchain services that are ordinarily available to that person, can readily determine which aspects of the present disclosure constitute and can be used to implement a particular blockchain service and / or receive the benefits. Particular considerations in determining whether the intended service is a blockchain service and / or whether aspects of the present disclosure can provide a benefit or enhance an intended system include, but are not limited to, the use of the service, the source of the service (e.g., if the service is associated with a known or verifiable blockchain service provider), the responsiveness of the service (e.g., some blockchain services may have an expected completion time and / or may be determined by usage), the cost of the service, the amount of data required by the service, and / or the amount of data generated by the service (the blocks of the blockchain or keys associated with the blockchain may be of a particular size or within a particular range of sizes). Specific examples of blockchain services and considerations are described herein for illustrative purposes, but any system that benefits from the disclosure herein and any considerations understood by a person of ordinary skill in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0130] The term blockchain (and variations such as cryptocurrency ledgers) as used herein is widely understood to describe a cryptocurrency ledger that records, manages, or otherwise processes online transactions. The blockchain may be, without limitation, public, private, or a combination thereof. Also, the blockchain may be used to represent a series of digital transactions, agreements, conditions, or other digital values. Without being limited to other aspects or descriptions of the present disclosure, in the former case, the blockchain can also be used in connection with investment applications, token trading applications, and / or digital / cryptocurrency-based marketplaces. Also, the blockchain can be associated with the provision of consideration, such as the provision of goods, services, items, fees, access to restricted areas or events, data, or other valuable benefits. Various forms of blockchain may be included when discussing units of consideration, collateral, currency, cryptocurrency, or other forms of value. Those of ordinary skill in the art having the benefit of the disclosure herein and the knowledge normally available to the intended system can readily determine the value symbolized or represented by the blockchain. Although specific examples of blockchain are described herein for illustrative purposes, any embodiments that benefit from the disclosure herein and any considerations understood by those of ordinary skill in the art who benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0131] The terms ledger and distributed ledger (and similar terms) as used in this specification should be understood broadly. Without limitation to other aspects or descriptions of this disclosure, a ledger may be a document, file, computer file, database, book, etc. that maintains records of transactions. A ledger may be physical or digital. A ledger may include records related to sales, accounts, purchases, transactions, assets, liabilities, revenues, expenses, capital, etc. A ledger can provide a history of transactions associated with time. A ledger may be centralized or distributed. A centralized ledger is a document that can be managed, updated, or viewed by one or more selected entities or clearinghouses, and changes or updates to the ledger may be managed or controlled by the entity or clearinghouse. A distributed ledger is a ledger that is distributed across multiple entities, participants, or regions, and these entities, participants, or regions can independently, simultaneously, or upon agreement, update or modify a copy of the ledger. Security measures and cryptographic functions for content signing, concealment, and verification may be included in ledgers and distributed ledgers. In the case of a distributed ledger, blockchain technology may be used. In the case of a distributed ledger implemented using blockchain, the ledger may be a Merkle tree consisting of a linked list of nodes where each node contains the hashed or encrypted transaction data of the previous node. Certain transaction records may not be considered a ledger. A file, computer file, database, or book may or may not be a ledger depending on what data it stores and how the data is organized, maintained, or protected. For example, a list of transactions is not considered a ledger if it is not trustworthy or verifiable, or if it is based on inconsistent, fraudulent, or incomplete data. The data of a ledger can be organized in any format according to convenience, data source, data type, environment, application, etc., such as tables, lists, binary streams of data.Ledgers shared among various entities may not be distributed ledgers, but the distinction between distributed and non-distributed may be based on which entities have the authority to make changes to the ledger and / or how changes are shared and processed among different entities. Thus, the advantages of the present disclosure can be applied to a wide variety of data, all of which can be considered ledgers herein, while in certain embodiments, certain data may not be considered a ledger herein. A person skilled in the art, having the benefit of the disclosure herein and knowledge of the intended general ledger and distributed ledger that the person normally has access to, can readily determine which aspects of the present disclosure can be utilized and implemented, and / or which can benefit a particular ledger. Particular considerations when a person skilled in the art determines whether the intended data is a ledger and / or whether aspects of the present disclosure can benefit or enhance the intended ledger include, but are not limited to, the security of the data in the ledger (whether the data can be tampered with or changed), the time taken to change the data in the ledger, the cost of the change (computationally and monetarily), the detail of the data, the structure of the data (whether the data needs to be processed for use in an application), the confidentiality of the data (who can view or track the data in the ledger), the scale of the infrastructure, the communication requirements (distributed ledgers may require a communication interface and specific infrastructure in some cases), and the resilience. Specific examples of blockchain services and considerations are described herein for illustrative purposes, but any system that benefits from the disclosure herein and any considerations understood by a person skilled in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0132] The term "loan" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a loan is a contract related to borrowed assets that is expected to be returned as a physical item (e.g., borrowing money and returning money) or an agreed-upon transaction (e.g., a first good or service is borrowed and money, a second good or service, or a combination thereof is returned). Assets can include money, property, time, physical objects, virtual objects, services, rights (such as tickets, licenses, and other rights), depreciation, credits (such as tax deductions, emissions allowances), an agreed assumption of risks and liabilities, and combinations thereof. A loan is based on an official or unofficial contract between a borrower and a lender, and the lender can provide assets to the borrower for a predefined period, a variable period, or indefinitely. The lender and borrower can be individuals, businesses, corporations, governments, groups of people, organizations, etc. Types of loans include mortgage loans, personal loans, secured loans, unsecured loans, concessionary loans, commercial loans, microloans, etc. The contract between the borrower and the lender may specify the terms of the loan. The borrower may be required to return the assets or repay them with assets different from those borrowed. In some cases, repayment of interest on the borrowed assets may also be required. The borrower and lender are intermediaries between other entities and may not own or use the assets. In some embodiments, the loan may relate to a right of use or shared right of use without direct transfer of an item. In certain embodiments, the contract between the borrower and the lender may be executed between the borrower and the lender and / or between an intermediary (e.g., a beneficiary of loan rights such as by selling the loan). In certain embodiments, the contract between the borrower and the lender may be executed via the services herein, e.g., via a smart contract service that determines at least some of the terms of the loan, and in certain embodiments, the borrower and / or lender may be committed to the terms of the contract, which may be a smart contract.In certain embodiments, the smart contract service may input the terms of the contract and present them to the borrower and / or lender for execution. In certain embodiments, the smart contract service may automatically commit (at least as an offer) one of the borrower or lender conditional on the other, and present an offer to the other of the borrower or lender for execution. In certain embodiments, a loan contract may include a plurality of borrowers and / or a plurality of lenders, for example, where a set of loans includes multiple payment beneficiaries, and / or where a set of loans includes multiple borrowers. In certain embodiments, the risks and / or obligations of a set of loans may be individualized (e.g., each borrower and / or lender is associated with a particular loan of the set of loans), allocated (e.g., a default of a particular loan has associated losses that are allocated among the lenders), and / or a combination of these (e.g., one or more subsets of the set of loans are treated and / or allocated separately).

[0133] Certain contracts may not be considered loans. Contracts for the transfer or borrowing of assets may vary depending on what assets were transferred, how they were transferred, or in some cases by the parties involved, may not be considered loans. For example, in one case, the transfer of an asset may be indefinite and may be considered a sale or permanent transfer of the asset. Similarly, if an asset is borrowed or transferred without clear conditions, or if no consensus is reached between the lender and borrower, in some cases it may not be considered a loan. Even if a formal agreement is not codified directly in a contract, as long as the parties have knowingly consented to the arrangement and / or in normal practice (e.g., in a particular industry), the transaction can be treated as a loan and may be considered a loan. Therefore, the advantages of the present disclosure can be applied in a wide variety of contracts, any of which may be considered a loan herein, while in certain embodiments, a given contract may not be considered a loan herein. A person skilled in the art having the benefit of the disclosure herein and knowledge of the assumed loans typically available to that person can readily determine which aspects of the disclosure implement, utilize, or benefit a particular loan transaction. Specific considerations for a person skilled in the art to determine whether the intended data is a loan and / or whether aspects of the disclosure can benefit or enhance the intended loan include, but are not limited to, the value of the related assets, the borrower's ability to repay or return the loan, the type of related assets (e.g., the method of loan contract, the form of the contract, the details of the contract, the details of the loan contract, the collateral attributes of the loan, and / or the normal business expectations of any of the above in a particular situation). Specific examples of loans and considerations are described herein for illustrative purposes, but any system benefiting from the disclosure herein and any considerations understood by a person skilled in the art benefiting from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0134] The term "loan-related event" (and similar terms including loan-related event) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a loan-related event may include an event related to the terms of a loan or an event triggered by a contract related to the loan. Loan-related events may include default of a loan, breach of contract, performance, repayment, payment, change of interest, assessment of late fees, assessment of refunds, distribution, etc. Loan-related events may be caused by explicit contractual terms. For example, it can be specified in the contract that the interest rate increases after a certain period has elapsed since the start of the loan, and the increase in the interest rate caused by the contract may be a loan-related event. Loan-related events may be implicitly caused by the relevant loan contract terms. In certain embodiments, any event that is considered to be a prerequisite of the loan contract and / or related to the expectations of the parties to the loan contract is considered to be the occurrence of an event. For example, if it is expected that the collateral of a loan is exchangeable (e.g., inventory), a change in the inventory level may be regarded as the occurrence of an event related to the loan. In another example, if a review and / or confirmation of the collateral is expected, the lack of access to the collateral, the inactivation or failure of a monitoring sensor, etc. may be regarded as the occurrence of a loan-related event. In certain embodiments, the circuits, controllers, or other devices described herein can automatically trigger the determination of loan-related events. In some embodiments, loan-related events may be triggered by an entity that manages the loan or loan-related contract. Loan-related events may be conditionally triggered based on one or more conditions in the loan contract. Loan-related events may be related to tasks or requirements that need to be completed by the lender, borrower, or a third party. Certain events may be regarded as loan-related events in certain embodiments and / or in a certain context, but may not be regarded as loan-related events in another embodiment or context. Many events may be caused by external triggers that are related to or not related to the loan.However, in certain embodiments, an event of an external trigger (e.g., a change in the price of a commodity related to a collateral item) may be an event related to a loan. For example, a renegotiation of loan terms initiated by a lender may not be considered a loan-related event if the terms and / or performance of an existing loan contract did not trigger the renegotiation. Thus, the advantages of the present disclosure can be applied to a wide variety of events, any of which may be considered a loan-related event herein, while in certain embodiments, a given event may not be considered a loan-related event herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person normally uses, can readily determine which aspects of the present disclosure can be considered loan-related events for the intended system and / or for a particular transaction supported by that system. Particular considerations in determining whether the intended data is a loan-related event and / or whether aspects of the present disclosure can benefit or enhance the intended transaction system include, but are not limited to, the impact of the related event on the loan (events that cause the default or termination of a loan may have a higher impact), the costs associated with the event (capital and / or operations), the costs associated with monitoring the occurrence of the event (capital and / or operations), the entity responsible for responding to the event, the period and / or response time associated with the event (e.g., the time required to complete the event and the time allocated from when the event occurs until the processing or detection of the event is desired), the entity responsible for the event, the data required for processing the event (e.g., different protection measures or restrictions may apply to confidential information), the availability of mitigation measures if an undetected event occurs, and / or the remedies available to the party assuming the risk if an event occurs undetected.Although specific examples of loan-related events and considerations are described herein for purposes of explanation, any system that benefits from the disclosure herein and any considerations understood by one of ordinary skill in the art that benefit from the disclosure herein are specifically contemplated within the scope of this disclosure.

[0135] The term "loan-related activities" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, loan-related activities may include activities related to loan generation, maintenance, termination, collection, enforcement, servicing, billing, marketing, fulfillment capabilities, or negotiation. Loan-related activities may include activities related to the signing of loan agreements or promissory notes, verification of loan documents, processing of payments, evaluation of collateral, assessment of compliance with loan terms by borrowers or lenders, renegotiation of terms, completion of security or collateral for loans, and / or activities related to the denial of terms. Loan-related activities may relate to events related to a loan prior to the formal agreement of terms, such as activities related to initial negotiation. Loan-related activities may relate to events during the life of a loan and after the termination of a loan. Loan-related activities may be performed by a lender, borrower, or third party. An activity may not be considered a loan-related activity individually, but may be considered a loan-related activity based on the specificity of the activity with respect to the loan life cycle. For example, an invoice or bill related to an unpaid loan may be considered a loan-related activity, but if the loan invoice or bill is combined with an invoice or bill for elements not related to the loan, the invoice or bill may not be considered a loan-related activity. Some activities may be performed in relation to an asset regardless of whether the loan is related to the asset, and in such cases, such activities are not considered loan-related activities. For example, a periodic audit related to an asset may be performed regardless of whether the asset is related to a loan and may not be considered a loan-related activity. In another example, a periodic audit related to an asset may be required by a loan agreement and may not normally occur without the association with the loan, in which case the activity may be considered a loan-related activity.In some embodiments, an activity may be considered an activity related to a loan if the activity would not otherwise occur if the loan were not active or present, although in some cases it may still be considered an activity related to the loan (e.g., an audit would typically occur, but if the lender does not have the ability to conduct or review the audit, the audit may be considered an activity related to the loan even though it would otherwise already have occurred). Thus, the advantages of the present disclosure can be applied to a wide variety of events, any of which may be considered loan-related events herein, while in certain embodiments, a given event may not be considered a loan-related event herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended system that the person normally uses, can readily determine loan-related activities for the purposes of the intended system. Specific considerations that one of ordinary skill in the art may take into account when determining whether the intended data is a loan-related activity and / or whether aspects of the present disclosure can benefit or enhance the intended loan include, but are not limited to, the need for the activity with respect to the loan (can the loan contract or conditions be satisfied without the activity), the cost of the activity, the specificity of the activity with respect to the loan (is the activity similar or identical to other industries), the time involved in the activity, the impact of the activity on the loan life cycle, the entity performing the activity, the amount of data required for the activity (does the activity require confidential information related to the loan or personal information related to the entity), and / or the ability of the party performing and / or reviewing the activity. Specific examples of loan-related events and considerations are described herein for purposes of illustration, but any system that benefits from the disclosure herein and any considerations understood by one of ordinary skill in the art that benefits from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0136] Terms such as loan-terms, loan terms, terms for a loan, terms and conditions used in this specification should be understood in a broad sense (the "loan terms"). Without being limited to other aspects or descriptions of the present disclosure, loan conditions may relate to conditions, rules, restrictions, contractual obligations, etc. related to timing, repayment, origination, and other enforceable conditions agreed upon by the borrower and the lender of the loan. Loan conditions may be specified in a formal contract between the borrower and the lender. Loan conditions can specify aspects such as interest rates, collateral, conditions for mortgage creation, consequences of debt, payment methods, payment schedules, covenants, etc. Loan conditions are negotiable and may be changed during the loan period. Loan conditions may be changed or affected by external parameters such as market prices, bond prices, conditions related to the lender or the borrower. Some aspects of a loan may not be considered loan conditions. In certain embodiments, aspects of a loan that are not formally agreed upon between the lender and the borrower, and / or aspects of a loan that are not commonly understood in the course of business (and / or a particular industry) may not be considered loan conditions. Some aspects of a loan may be preliminary or informal until formally agreed or confirmed by a contract or formal agreement. Certain aspects of a loan may not be considered loan conditions individually, but may not be considered loan conditions based on the specificity of the aspects for a particular loan. Certain aspects of a loan may not be considered loan conditions at a particular point in time during the loan, but may be considered loan conditions at another point in time during the loan (e.g., obligations and / or waivers that may arise from the performance of the parties, and / or expiration of the loan term). For example, interest rates are generally not considered loan conditions until they are defined in the context of the loan, including compound interest (annual interest, monthly interest), calculation methods, etc. Some aspects of a loan may not be considered terms if they are unclear or have no legal enforceability. Some aspects may indicate or be related to loan conditions but may not be conditions themselves. For example, the loan condition is the repayment period of the loan, such as one year.The term does not specify how the loan is to be repaid in that year. There may be cases of repayment with 12 monthly payments or with an annual payment. In this case, the monthly payment plan is just one or more options for repayment that are not directly specified by the loan, and thus may not be considered as part of the loan term. Therefore, the advantages of the present disclosure can be applied to a wide variety of loan aspects, and such aspects may all be regarded as loan conditions herein, while in certain embodiments, a given aspect may not be regarded as a loan condition herein. A person skilled in the art, having the benefit of the disclosure herein and the knowledge of the intended system that the person normally has access to, can easily determine which aspects of the present disclosure are loan conditions of the intended system.

[0137] Matters to be considered by a person skilled in the art when determining whether the planned data is a loan condition and / or whether aspects of the present disclosure can benefit or enhance the planned loan include, but are not limited to, the following. Enforceability of the condition (whether the lender, lender or borrower can enforce the condition), cost of condition enforcement (the time or effort required to confirm that the condition is being met), complexity of the condition (how easily the parties can comply or understand it, whether the condition is error-prone or misinterpretable), the entity responsible for the condition, fairness of the condition. Stability of the condition (how frequently it is changed), observability of the condition (whether another party can verify the condition), advantage of the condition to one party (whether the condition is advantageous to the borrower or lender), risks associated with the loan (the condition may depend on the possibility that the loan will not be repaid), characteristics of the borrower or lender (ability to meet the condition), and / or normal expectations for the loan and related industries, etc.

[0138] Here, specific examples of loan conditions are described for illustrative purposes, but systems benefiting from the present disclosure and considerations understandable by a person skilled in the art who has benefited from the present disclosure are specifically contemplated within the scope of the present disclosure.

[0139] Terms such as loan conditions, loan conditions, conditions of a loan, conditions, etc. used in this specification should be understood broadly (the "loan conditions"). Without being limited to other aspects or descriptions of the present disclosure, the loan conditions may relate to rules, restrictions, and / or obligations related to a loan. The loan conditions may relate to rules or required obligations for obtaining a loan, maintaining a loan, applying for a loan, transferring a loan, etc. The loan conditions may include principal amount of debt, outstanding balance, fixed interest rate, variable interest rate, payment amount, payment schedule, balloon payment schedule, designation of collateral, designation of collateral alternatives, handling of collateral, access to collateral, parties, guarantee, guarantor, security, personal guarantee, lien, term, covenant, mortgage setting conditions, default conditions, conditions related to other debts of the debtor, consequences of default, etc.

[0140] Certain aspects of a loan may not be considered loan terms. Aspects of a loan that are not formally agreed upon between the lender and the borrower, and / or aspects of a loan that are not commonly understood in the course of business (and / or in a particular industry), may not be considered lending terms. Certain aspects of a loan may be preliminary or informal until formally agreed to or confirmed in a contract or formal agreement. Certain aspects of a loan may not be considered loan terms individually, but may be considered loan terms based on the specificity of that aspect with respect to a particular loan. Certain aspects of a loan may not be considered loan terms at a particular point in the loan, but may be considered loan terms at another point in the loan (e.g., obligations and / or waivers that may arise from the performance of the parties, and / or the invalidation of loan terms). Thus, the advantages of the present disclosure can be applied to a wide variety of loan aspects, any of which may be considered loan terms herein, while in a particular embodiment, a given aspect may not be considered loan terms herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended system that the person normally uses, can readily determine which aspects of the present disclosure are loan terms of the intended system. Particular considerations in determining whether the intended data are loan terms and / or whether aspects of the present disclosure can benefit or enhance the intended loan include, but are not limited to, the enforceability of the terms (can the lender, lender or borrower enforce the terms), the cost of term enforcement (the time or effort required to confirm that the terms are being adhered to), the complexity of the terms (how easily can the parties adhere to or understand the terms, are the terms error-prone or easily misunderstood), the responsibility for the terms, the fairness of the terms, the observability of the terms (can other parties verify the terms), the favorability of the terms to one of the parties (are the terms favorable to the borrower or the lender), the risk associated with the loan (the terms may depend on the likelihood that the loan will not be repaid), and / or the normal expectations for the loan and / or related industry, etc.

[0141] Here, specific examples of loan conditions are described for the purpose of explanation. However, the systems that benefit from the present disclosure and the considerations that can be understood by those skilled in the art who have benefited from the present disclosure are specifically contemplated within the scope of the present disclosure.

[0142] Terms such as loan collateral, collateral, collateral items, collateral items, etc. used in this specification should be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, loan collateral may relate to any asset or property that a borrower promises to a lender as backup and / or as collateral for a loan in exchange for the loan. Collateral may be any item of value that is accepted as an alternative repayment method in the event of loan default. Collateral includes vehicles, ships, airplanes, buildings, houses, real estate, undeveloped land, farms, crops, municipal facilities, warehouses, a series of inventories, commodities, securities, currency, valuable tokens, tickets, cryptocurrencies, consumables, foodstuffs, beverages, precious metals, gemstones, intellectual property, intellectual property rights, contractual rights, antiques, spare parts, furniture, equipment, tools, machinery, personal assets, etc., including any physical or virtual item. Collateral may include multiple items or types of items.

[0143] A collateral item refers to an asset, property, value, or other item defined as collateral for a loan or transaction. A set of collateral items can be defined, and replacements, deletions, and additions of collateral items within that set can be made. For example, collateral items are not limited to vehicles, ships, airplanes, buildings, homes, real estate, undeveloped land, farms, crops, municipal facilities, warehouses, inventory, merchandise, securities, currency, valuable tokens, tickets, cryptocurrencies, consumables, foodstuffs, beverages, precious metals, jewelry, gemstones, intellectual property, intellectual property rights, contractual rights, antiques, spare parts, furniture, equipment, tools, machinery, personal belongings, and the like. When a series or plurality of collateral items are defined, replacements, deletions, or additions of collateral items can be effectively made as if they were replacements, deletions, or additions of collateral items to or from the set of collateral items. Without being limited to other aspects or descriptions of the present disclosure, a collateral item or set of collateral items can also be used in combination with other terms of a contract or loan, such as representations, warranties, indemnifications, covenants, debt balances, fixed interest rates, variable interest rates, payment amounts, payment schedules, balloon payment schedules, collateral designations, collateral alternative designations, guarantees, personal guarantees, liens, terms, mortgage conditions, default conditions, and consequences of default. In certain embodiments, a smart contract can calculate whether a borrower has met a condition or covenant and, if the borrower has not met such condition or covenant, enable an automated action, trigger another condition or clause that may affect the status, ownership, or transfer of a collateral item, or initiate a replacement, removal, or addition of a collateral item to the loan's collateral set. Those of ordinary skill in the art having knowledge of collateral items and benefiting from the disclosure herein can readily determine the purpose and use of collateral items in the various embodiments and contexts disclosed herein, including their replacement, removal, and addition.

[0144] Although specific examples of loan collateral are described herein for illustrative purposes, any system that benefits from the disclosure herein and any considerations understood by those of ordinary skill in the art who benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0145] The term "smart contract service" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a smart contract service includes any service or application that manages a smart contract or a smart lending contract. For example, a smart contract service may specify the conditions of a smart contract in a rules database or the like, or process the output from a series of evaluation services to assign sufficient collateral items for a loan. A smart contract service may automatically execute a series of rules or conditions that embody the smart contract, and the execution may be based on or utilize the collected data. A smart contract service may automatically initiate actions such as a loan payment request, automatically initiate a seizure process, claim alternative or backup collateral, transfer ownership of collateral, automatically initiate an inspection process, automatically change the payment or interest period based on collateral, or configure the smart contract to automatically perform actions related to the loan. A smart contract may define at least one of loan conditions, loan-related events, and loan-related activities. A smart contract may be a contract encoded as a computer protocol and may facilitate, verify, or enforce the negotiation or performance of the smart contract. A smart contract may or may not be one or more of partially or fully self-executing or partially or fully self-enforcing.

[0146] Certain processes may not be considered smart contract related individually, but may be considered smart contract related in an aggregated system. For example, automatically undertaking actions related to a loan may not be smart contract related in one example, but may be governed by smart contract terms in another example. Thus, the advantages of the present disclosure can be applied to a wide variety of process systems, and any such process or system may be considered a smart contract or smart contract service herein, while in certain embodiments, a given service may not be considered a smart contract service herein.

[0147] A person of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that are commonly available to that person, can readily determine which aspects of the present disclosure would benefit a particular system and how to combine the processes and systems of the present disclosure to implement smart contract services and / or enhance the operation of the intended systems. Particular considerations in determining whether the intended system includes smart contract services or smart contracts and / or whether aspects of the present disclosure can benefit or enhance the intended system include, but are not limited to, the ability to automatically transfer ownership of collateral in response to an event, automated actions available when a covenant is found to be complied with (or not complied with), the amenability of collateral to clustering, rebalancing, distribution, addition, replacement, and removal of items from the collateral, modification parameters for aspects of a loan in response to an event (e.g., timing, complexity, suitability to loan type, etc.), the rapid determination and / or prediction of changes to entities related to the loan (such as collateral, the financial situation of the parties, collateral offsets, and industries related to the parties), the complexity of the terms of the loan in the system, the suitability of the terms for automated generation and / or execution for the types of loans, parties, and / or industries contemplated in the system, etc. Specific examples of smart contract services and considerations are described herein for purposes of illustration, but any system that benefits from the disclosure herein and any considerations understood by a person of ordinary skill in the art that benefits from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0148] The term "IoT system" (and similar terms) as used herein should be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, an IoT system includes any system of uniquely identifiable and interconnected computing devices, mechanical and digital machines, sensors, and objects that can transfer data over a network without intervention. Certain components may not be considered IoT systems individually, but in an aggregated system, they may be considered, for example, as a single networked IoT system.

[0149] A sensor, smart speaker, and / or medical device may not be an IoT system, but may be part of a larger system and / or may be integrated with many other similar components and be considered part of an IoT system and / or an IoT system. In certain embodiments, a system may be considered an IoT system for one purpose but not for another. For example, a smart speaker may be considered part of an IoT system for certain operations such as providing surround sound, but may not be part of an IoT system for other operations such as directly streaming content from a single local network source. Further, in certain embodiments, other similarly-appearing systems may be distinguished when determining whether such a system is an IoT system and / or what type of IoT system it is. For example, one group of medical devices may not share data with a HER database aggregated at a given time, while another group of medical devices may share data with a HER aggregated for clinical research purposes, and accordingly, one group of medical devices may be an IoT system while another group of medical devices may not be. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, any of which may be considered an IoT system herein, while in certain embodiments, a given system may not be considered an IoT system herein. One of ordinary skill in the art, with the benefit of the disclosure herein and knowledge of the intended systems that the person normally has available, can readily determine which aspects of the present disclosure will benefit a particular system, how to combine the processes and systems of the present disclosure to enhance the operation of the intended system, and which circuits, controllers, and / or devices include the IoT system of the intended system.When a person skilled in the art determines whether the intended system is an IoT system and / or whether aspects of the present disclosure can provide benefits to or enhance the intended system, specific considerations include, but are not limited to, the system's transmission environment (e.g., low power, availability of device - to - device networking), shared data storage among a group of devices, establishment of geofencing by a group of devices, performance of services as a blockchain node, monitoring of assets, collateral, or entities, relay of data between devices, the ability to aggregate data from multiple sensors or monitoring devices, etc., but are not limited to these. Although IoT systems and specific examples of considerations are described herein for illustrative purposes, any system that benefits from the disclosure herein and any considerations understood by a person skilled in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0150] The term "data collection service" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a data collection service includes any service that collects data or information and can include any circuit, controller, device, or application that can store, transmit, transfer, share, process, organize, compare, report, and / or aggregate data. A data collection service may include a data collection device (e.g., a sensor) and / or may communicate with a data collection device. A data collection service may monitor an entity to collect data or information. A data collection service may be event-driven, run periodically, or obtain data from an application at a specific point during the execution of the application. A particular process may not be considered a data collection service individually, but may be considered a data collection service in an aggregated system. For example, a network-connected storage device may be a component of a data collection service in one example, but may have a stand-alone function in another example. Accordingly, the advantages of the present disclosure can be applied to a wide variety of processes and systems, such processes or systems may be considered data collection services herein, while in a particular embodiment, a given service may not be considered a data collection service herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person normally uses, can readily determine which aspects of the present disclosure will benefit a particular system and how to combine processes and systems from the present disclosure to implement a data collection service and / or enhance the operation of the intended system.When a person skilled in the art determines whether the contemplated system is a data collection service and / or whether aspects of the present disclosure provide benefits to the contemplated system, specific considerations include, but are not limited to, the ability to change business rules on the fly to change data collection protocols, the execution of real-time monitoring of events, the connection of data collection devices to a monitoring infrastructure, the execution of computer-readable instructions that cause a processor to record or track events, the use of an automated inspection system, the occurrence of sales at a networked point of sale, the need for data from one or more distributed sensors or cameras, and the like. Although specific examples of data collection services and considerations are described herein for purposes of illustration, any system that benefits from the disclosure herein, and any consideration understood by a person skilled in the art that benefits from the disclosure herein, are specifically contemplated within the scope of the present disclosure.

[0151] The term "data integration service" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a data integration service includes any service that integrates data or information, including any device or application that can extract, transform, load, normalize, compress, decompress, encode, decode, and process data packets, signals, and other information in other ways. A data integration service may monitor entities, such as to identify data or information for integration. A data integration service can integrate data regardless of the required frequency, communication protocol, or business rules required for complex integration patterns. Thus, the advantages of the present disclosure can be applied to a wide variety of process systems, such systems may be regarded as data integration services herein, while in certain embodiments, a given service may not be regarded as a data integration service herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person normally uses, can readily determine which aspects of the present disclosure will benefit a particular system and how to combine the processes and systems from the present disclosure to implement a data integration service and / or enhance the operation of the intended system. Particular matters to consider when one of ordinary skill in the art determines whether an intended system is a data integration service and / or whether aspects of the present disclosure will benefit the intended system include, but are not limited to, the ability to modify business rules on the fly to change data integration protocols, communication with third-party databases to import data to be integrated, synchronization of data between heterogeneous platforms, connection to a central data warehouse, data storage capacity, processing capacity, and / or communication capacity distributed throughout the system, connection of separate automated workflows, and the like. Specific examples of data integration services and considerations are described herein, but any system that benefits from the disclosure herein and any consideration understood by one of ordinary skill in the art that benefits from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0152] The term "computing service" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a computing service may be included as part of one or more services, platforms, or microservices, such as a blockchain service, a data collection service, a data integration service, an evaluation service, a smart contract service, a data monitoring service, data mining, and / or any service that facilitates the collection, access, processing, transformation, analysis, storage, visualization, or sharing of data. A particular process may not be considered a computing service. For example, a process may not be considered a computing service depending on the type of rules governing the service, the end product of the service, or the intent of the service. Accordingly, the advantages of the present disclosure can be applied to a wide variety of process systems, such systems may be considered computing services herein, while in certain embodiments, a given service may not be considered a computing service herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person ordinarily uses, can readily determine which aspects of the present disclosure will benefit a particular system and how to combine processes and systems from the present disclosure to implement one or more computing services and / or enhance the operation of the intended system. Particular considerations in determining whether an intended system is a computing service and / or whether aspects of the present disclosure will benefit or can enhance an intended system include, but are not limited to: consent-based access to the service; mediating exchanges between different services; providing on-demand computing power to web services; achieving one or more of monitoring, collecting, accessing, processing, transforming, analyzing, storing, integrating, visualizing, mining, or sharing data; and the like. Although specific examples of computing services and considerations are described herein for illustrative purposes, any system that benefits from the disclosure herein and any considerations understood by one of ordinary skill in the art who has benefited from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0153] The term sensor as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, a sensor may be a device, module, machine, or subsystem that detects or measures a physical quality, event, or change. In embodiments, the detection or measurement may be recorded, displayed, transmitted, or otherwise responded to. Examples of sensors include sensors for detecting the movement of an entity, sensors for detecting temperature, pressure, or other attributes of an entity or its environment, cameras for taking still or moving images of an entity, sensors for collecting data regarding a guarantee or asset, such as sensors for collecting data regarding location, status (health, physical, or otherwise), quality, security, ownership, etc. In embodiments, a sensor may be sensitive to the characteristics being measured but may not be affected by other characteristics. A sensor may be analog or digital. A sensor may include a processor, transmitter, transceiver, memory, power, detection circuit, electrochemical fluid reservoir, light source, etc. Further, sensors such as biosensors, chemical sensors, black silicon sensors, infrared sensors, acoustic sensors, inductive sensors, motion sensors, optical sensors, opacity sensors, proximity sensors, inductive sensors, eddy current sensors, passive infrared proximity sensors, radar, capacitance sensors, capacitance displacement sensors, Hall effect sensors, magnetic sensors, GPS sensors, thermal imaging sensors, thermocouples, thermistors, optoelectronic sensors, ultrasonic sensors, infrared laser sensors, inertial motion sensors, etc. are contemplated. Infrared laser sensors, inertial motion sensors, MEMS internal motion sensors, ultrasonic three-dimensional motion sensors, accelerometers, inclinometers, force sensors, piezoelectric sensors, rotary encoders, linear encoders, ozone sensors, smoke sensors, thermal sensors, magnetometers, carbon dioxide detectors, carbon monoxide detectors, oxygen sensors, glucose sensors, smoke detectors, metal detectors, rain sensors, altimeters, GPS, presence detection, context detection, activity detection, object detection (collateral, etc.), marker detection, other capacitance, optical response, heart rate sensors, RF / micropower impulse radio (MIR) sensors, etc.In one embodiment, the sensor may be a virtual sensor that determines a parameter of interest, for example, based on other sensed parameters in the system, by computational determination. In certain embodiments, the sensor may be a smart sensor. For example, it reports the sensed value as abstracted communication (e.g., as network communication). In certain embodiments, the sensor may directly provide the sensed value to a circuit, a controller, or other device in the system (e.g., as a voltage level, a frequency parameter, etc.). One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the assumed systems that the person normally has access to, can readily determine which aspects of the disclosure are benefitted by the sensor. Points to consider when one of ordinary skill in the art determines whether the assumed device is a sensor and whether aspects of the disclosure are benefitted by, or enhanced by, the assumed sensor include, but are not limited to, adjustment of the system's startup / stop with respect to environmental quality, conversion to the measured amount of electrical output, the ability to implement geofencing, automatic modification of a loan in response to a change in collateral, and the like. Although specific examples and considerations of sensors are described herein for illustrative purposes, any system that benefits from the disclosure herein, and any considerations understood by one of ordinary skill in the art who has benefitted from the disclosure herein, are specifically contemplated within the scope of the present disclosure.

[0154] The term "storage conditions" and similar terms used in this specification should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, storage conditions include the environment, physical location, environmental quality, exposure levels, security measures, maintenance descriptions, accessibility descriptions, etc. related to the storage of contracts, loans, or the assets, guarantees, or entities specified and monitored in the underlying contracts, loans, or agreements. Based on the storage conditions of the guarantee, asset, or entity, actions may be taken to maintain, improve, and / or confirm the condition of the asset or its use as a guarantee for the asset. Based on the storage situation, measures may be taken to change the conditions of loans or bonds. The storage conditions may be classified according to various rules, thresholds, conditional procedures, workflows, model parameters, etc., or based on self-reporting, or based on data from Internet of Things devices, data from a set of environmental condition sensors, data from a set of social network analysis services, a set of algorithms querying network domains, social media data, cloud source data, etc. The storage conditions may be associated with geographical locations related to guarantees, issuers, borrowers, fund distributions, or other geographical locations. Examples of IoT data may include images, sensor data, location data, etc. Examples of social media data and cloud source data include the actions of loan parties, the financial situation of the parties, the compliance of the parties with the conditions and terms of loans and bonds, etc. The parties to a loan may sometimes include bond issuers, related parties, lenders, borrowers, and third parties with an interest in the debt. The storage conditions may be related to types of assets and guarantees such as local government assets, vehicles, ships, airplanes, buildings, houses, real estate properties, undeveloped land, farms, crops, local government facilities, warehouses, sets of inventory, commodities, securities, currencies, valuable tokens, tickets, cryptocurrencies, consumables, food products, beverages, precious metals, gemstones, intellectual property, intellectual property rights, contractual rights, antiques, spare parts, furniture, equipment, tools, machinery, personal belongings, etc. Also, the storage conditions may include an environment selected from local government environments, corporate environments, securities trading environments, real estate environments, commercial facilities, warehouses, transportation environments, manufacturing environments, storage environments, homes, vehicles.Actions based on the custody status of a guarantee, asset, or entity include management, reporting, modification, syndication, integration, termination, maintenance, condition and / or condition changes, asset seizure, or loan, contract, or agreement processing. A person of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the assumed custody conditions, can readily determine which aspects of the disclosure will benefit a particular application regarding custody conditions. Particular matters to be considered by a person of ordinary skill in the art, or in selecting appropriate custody conditions for an embodiment of the disclosure, include, but are not limited to, the legality of the conditions considering the jurisdiction of the transaction, data available for a given guarantee, the type of transaction expected (loan, bond, or debt), the type of particular guarantee, the ratio of the loan to value, the ratio of the guarantee to the loan, the total transaction / loan amount, the credit scores of the borrower and lender, industry normal practices, and other considerations. Specific examples of custody conditions are described herein for illustrative purposes, but any embodiment that benefits from the disclosure herein and any considerations understood by a person of ordinary skill in the art that benefits from the disclosure herein are specifically contemplated within the scope of the disclosure.

[0155] The term "geolocation" and similar terms as used in this specification are to be broadly understood. Without limitation to other aspects or descriptions of the present disclosure, geolocation includes the identification or estimation of the real-world geographical location of an object, including the generation of a set of geographical coordinates (e.g., latitude and longitude) and / or a street address. Based on the geolocation of a collateral, asset, or entity, actions may be taken to maintain or improve the state of the asset or its use as collateral. Actions can be taken to change the terms of a loan or bond based on geolocation. Based on geolocation, decisions or predictions related to a transaction may be performed, for example, based on weather, the unrest of citizens in a particular area, and / or regional disasters (e.g., earthquakes, floods, tornadoes, hurricanes, industrial accidents, etc.). Geolocation may be determined according to various rules, thresholds, conditional procedures, workflows, model parameters, etc., or may be based on self-reporting, or may be based on data from Internet of Things devices, a set of environmental condition sensors, a set of social network analysis services, a set of algorithms for querying network domains, social media data, cloud source data, etc. Examples of geolocation data include GPS coordinates, images, sensor data, addresses, etc. Geolocation data may be quantitative (e.g., longitude / latitude, relative values to a map, etc.) and / or qualitative (e.g., categories such as "coastal area", "rural area", "within New York City", etc.). Geographical location data may be absolute (such as GPS location) or relative (such as within 100 yards from a predicted location). Examples of social media data or cloud source data may include the actions of loan parties inferred by geographical location, the financial situation of parties inferred by geographical location, and the compliance of parties with the terms or conditions of a loan or bond. Geolocation can be used to make determinations about types of assets and collateral such as municipal assets, vehicles, ships, airplanes, buildings, houses, real estate properties, undeveloped land, farms, crops, municipal facilities, warehouses, inventories, commodities, securities, etc.They include currency, valuable tokens, tickets, consumables, foodstuffs, beverages, precious metals, jewelry, gemstones, antiques, spare parts, furniture, equipment, tools, machinery, personal belongings, etc. Geolocation may be determined for one of the parties, a third party (e.g., inspection services, maintenance services, cleaning services, etc. related to the transaction), or an entity such as another entity related to the transaction. Geolocation may include an environment selected from an autonomous environment, a corporate environment, a securities trading environment, a real estate environment, a commercial facility, a warehouse facility, a transportation environment, a manufacturing environment, a storage environment, a home, a vehicle. Actions based on the geographical location of a collateral, asset, or business entity include loan, contract, or agreement management, reporting, modification, syndication, integration, termination, maintenance, condition and / or condition change, asset seizure, or other processing. Those skilled in the art having knowledge of the benefits of the disclosure herein and the intended system will readily be able to determine which aspects of the disclosure will benefit a particular application for geolocation and which location aspects of an item are geolocation for the intended system. Considerations for those skilled in the art or specific considerations for embodiments of the disclosure when selecting an appropriate geolocation to manage include, but are not limited to, the following. Legality of geolocation considering the jurisdiction of the transaction, data available for a given collateral, type of transaction expected (loan, bond, or debt), type of specific collateral, ratio of loan to value, ratio of collateral to loan, total transaction / loan amount, considerations such as the frequency of the borrower's travel to a particular jurisdiction, mobility of the collateral, and / or likelihood of location-specific events related to the transaction (e.g., weather, location of related industrial facilities, availability of related services, etc.). Specific examples of geolocation are described herein for illustrative purposes, but any embodiment benefiting from the disclosure herein and any considerations understood by those skilled in the art benefiting from the disclosure herein are specifically contemplated within the scope of the disclosure.

[0156] The term jurisdiction and similar terms as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, jurisdiction refers to the laws and legal authorities that govern the entity of a loan. Jurisdiction may be based on, among other things, the geographical location of an entity, the place of registration of the entity (e.g., the flag state of a ship, the state of incorporation of a business, etc.), the status of grant of certain rights such as intellectual priority. In certain embodiments, the jurisdiction location may be one or more of the geolocations of entities within the system. In certain embodiments, the jurisdiction may not be the same as the geolocation of an entity within the system (e.g., when another jurisdiction is specified in a contract). In certain embodiments, the jurisdiction may vary depending on the entity within the system (e.g., when the borrower is A, the lender is B, the collateral is placed with C, and the contract is executed in D). In certain embodiments, the jurisdiction location for a given entity may change during the operation of the system (e.g., due to movement of collateral, related data, change of contract terms, etc.). In certain embodiments, a given entity of the system may have multiple jurisdictions (e.g., due to operation of relevant laws and / or options available to one or more parties), and / or may have different jurisdictions for different purposes. The jurisdiction of a collateral object, asset, or entity may, by action, determine certain conditions of a loan or bond, and / or may indicate different obligations regarding notice to parties, attachment and / or enforcement of default, handling of collateral and / or debt security, and / or handling of various data within the system. Although specific examples of jurisdiction areas are described herein for illustrative purposes, any embodiments that benefit from the disclosure herein, and any considerations understood by those skilled in the art that benefit from the disclosure herein, are specifically contemplated within the scope of the present disclosure.

[0157] As used herein, the terms value increments, tokens, and variations such as cryptocurrency tokens may be broadly understood to describe any of the following: (a) units of currency or cryptocurrency (e.g., cryptocurrency tokens), and (b) credentials (e.g., valuable tokens) that can be exchanged for goods, services, data, or other valuable consideration. Without limitation to other aspects or descriptions of the present disclosure, in the former case, tokens can also be used in combination with investment applications, token trading applications, and token-based marketplaces. In the latter case, tokens can also be associated with the provision of consideration such as goods, services, fees, access to restricted areas or events, data, or other valuable benefits. Tokens can be either incidental (e.g., incidental access tokens) or non-incidental. For example, valuable tokens can be exchanged for accommodation (such as hotel rooms), food / drink products and services, space (such as shared space, workspace, convention space), fitness / wellness products and services, event tickets or event admission fees, transportation such as travel, airline tickets, digital content, virtual goods, license keys, or other valuable goods, services, data, or consideration. Various forms of tokens may be included when discussing consideration, collateral, or units of value regardless of other forms of value such as currency, cryptocurrency, or goods, services, data, or other benefits. Those of ordinary skill in the art with knowledge of tokens, upon the benefit of the disclosure herein, can readily determine the value symbolized or represented by the token, whether it be currency, cryptocurrency, property, services, data, or other value. Specific examples of tokens are described herein for illustrative purposes, but any embodiments that benefit from the disclosure herein and any considerations understood by those of ordinary skill in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0158] The term price data as used herein is widely understood to represent an amount of information such as the price or cost of one or more items in the market. Without being limited to other aspects or descriptions of the present disclosure, the price setting data can also be used in combination with spot market prices, forward market prices, price discount information, promotional prices, and other information related to the cost or price of the item. The price setting data may meet one or more conditions or trigger the application of one or more rules of the smart contract. The price setting data can be used in combination with other forms of data such as market value data, accounting data, access data, asset / facility data, worker data, event data, acceptance data, claim data, etc. The price setting data can be adjusted according to the context of the item to be evaluated (e.g., status, liquidity, location, etc.) and / or the context of a specific party. A person skilled in the art having knowledge of the price setting data and benefiting from the disclosure herein can easily determine the purpose and use of the price setting data in various embodiments and contexts disclosed herein.

[0159] Without being limited to other aspects or descriptions of the present disclosure, tokens can include any tokens, such as tokens that function as expressions of value, such as value-holding vouchers that can be exchanged for valuable tokens, goods, or services such as collateral, assets, rewards, etc. Certain components may not be considered tokens individually, but may be considered tokens in an aggregated system. For example, the value placed on an asset may not be a token in itself, but the value of the asset may be placed on a valuable token for purposes such as storage, exchange, trading, etc. For example, in a non-limiting example, a blockchain circuit may be configured to provide a mechanism for a lender to preserve the value of an asset, in which case the value attributed to the token is stored in the distributed ledger of the blockchain circuit, but the token itself to which the value is assigned may be exchanged or traded, such as through a token marketplace. In certain embodiments, a token may be considered a token for one purpose but not for another. For example, a token may be used as an indication of ownership of an asset, but such use of the token may not be traded if the token containing the value of the asset may be traded as a value. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, such systems may be considered tokens herein, while in certain embodiments, a given system may not be considered a token herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems commonly available to that person, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system.When a person skilled in the art determines whether the contemplated system is a token and / or whether aspects of the present disclosure can provide benefits or enhancements to the contemplated system, specific considerations include, but are not limited to, access data such as access rights, tickets, and tokens related to tokens, use in investment applications such as for investments in stocks, interests, and tokens, token trading applications, token-based markets, forms of consideration such as monetary rewards and tokens, conversion of the value of resources in tokens, cryptocurrency tokens, conversion of the value of resources in tokens, etc. Ownership representations such as cryptocurrency tokens, identity information, event information, token information, blockchain-based access tokens traded in marketplace applications, incidental access rights, underlying access rights, tokens, and price setting applications such as price setting and monitoring of tokens, trading applications such as trading or exchanging incidental access rights or underlying access rights or tokens, tokens created and stored on the blockchain for incidental access rights that result in ownership (e.g., tickets), etc.

[0160] As used herein, the term financial data is broadly understood to represent a collection of financial information regarding assets, collateral, or other items. Financial data includes revenues, expenses, assets, liabilities, stocks, bond ratings, defaults, ROA (return on assets), ROI (return on investment), past performance, expected future performance, EPS (earnings per share), IRR (internal rate of return), earnings announcements, ratios, statistical analyses such as moving averages, etc. Without being limited to other aspects or descriptions of the present disclosure, financial data can also be used in combination with price data or market value data. Financial data may meet one or more conditions or trigger the application of one or more rules of a smart contract. Financial data may be used in combination with other forms of data such as market value data, pricing data, accounting data, access data, asset and facility data, worker data, event data, acceptance data, claim data, or other forms of data. A person skilled in the art with knowledge of financial data, benefiting from the disclosure herein, can readily determine the purpose and method of use of pricing data in the various embodiments and contexts disclosed herein.

[0161] As used herein, the term covenant is broadly understood to represent a term, agreement, or promise, such as the performance of some act or omission. For example, a covenant may relate to a party's actions or a party's legal status. Without limitation to other aspects or descriptions of the present disclosure, a covenant may be used in combination with other terms related to a contract or loan, such as representations, warranties, indemnifications, debt balances, fixed interest rates, variable interest rates, payment amounts, payment schedules, balloon payment schedules, designation of collateral, designation of collateral alternatives, parties, warranties, guarantors, security, personal guarantees, liens, terms, mortgage conditions, default conditions, and consequences of default. A covenant or breach of a covenant may meet one or more conditions or may cause a recovery, violation, or other condition. In certain embodiments, a smart contract may calculate whether covenants are satisfied and, if the covenants are not satisfied, may enable automated actions or trigger other conditions or terms. Those of ordinary skill in the art who have the benefit of the disclosure herein and knowledge of covenants will readily be able to determine the purposes and uses of covenants in the various embodiments and contexts disclosed herein.

[0162] As used herein, the term "entity" is widely understood to refer to a party, a third party (such as an auditor, a regulatory authority, a service provider, etc.), and / or an identifiable related item such as collateral related to a transaction. Examples of entities include individuals, partnerships, corporations, limited liability companies, and other legal organizations. Other exemplary entities include identifiable collateral items, offsetting collateral, potential collateral, etc. For example, an entity may be a specified party such as an individual to a contract or a loan. The data or other terms in this specification may be characterized as having a context related to an entity, such as entity-oriented data. Entities may be characterized by a particular context or application, including, but not limited to, human entities, physical entities, transaction entities, or financial entities. An entity can have a representative who acts on behalf of the entity. Without being limited to other aspects or descriptions of the present disclosure, an entity can also be used in combination with other entities or terms related to a contract or a loan, such as representations, warranties, indemnifications, covenants, debt balances, fixed interest rates, variable interest rates, payment amounts, payment schedules, etc. There are payment amounts, payment schedules, balloon payment schedules, collateral designations, collateral substitution possibility designations, parties, warranties, guarantors, collateral, personal guarantees, liens, terms, mortgage conditions, default conditions, consequences of default, etc. An entity may have a set of attributes such as the following. Published valuation amounts, a set of properties owned by the entity shown in public records, the valuation amounts of a set of properties owned by the entity, bankruptcy status, seizure status, contractual default status, regulatory violation status, criminal status, export control status, embargo status, customs status, etc. Attributes such as credit reports, credit ratings, website ratings, a set of customer reviews for the entity's products, social network ratings, sets of credentials, sets of referrals, sets of testimonials, sets of actions, locations, and geolocations, among others.In certain embodiments, the smart contract may calculate whether an entity has met a condition or covenant and, if the entity has not met such condition or covenant, enable an automated action or trigger other conditions or terms. One of ordinary skill in the art having knowledge of the entity and benefiting from the disclosure herein can readily determine the purposes and uses of the entity in the various embodiments and contexts disclosed herein.

[0163] As used herein, the term "party" is broadly understood to represent a member of a contract, such as an individual, partnership, corporation, limited liability company, or other legal organization. For example, a party may be a prime lender, a secondary lender, a lending syndicate, a corporate lender, a government lender, a bank lender, a secured lender, a bond issuer, a bond purchaser, an unsecured lender, a guarantor, a collateral provider, a borrower, a debtor, an acceptor, an examiner, an appraiser, an auditor, an expert in evaluation, a government official, an accountant, or any other entity having rights or obligations with respect to a contract, transaction, or loan. A party can characterize different terms, such as transactions, without limitation, like the term "multi-party transaction" where multiple parties are involved in a transaction. A party may have a representative who acts on its behalf. In certain embodiments, the term "party" may refer to a potential or prospective party, such as an intentional lender or borrower who interacts with the system and may not yet be actually committed to an agreement during the interaction with the system. Also, without being limited to other aspects and descriptions of the present disclosure, a party can be used in combination with other parties and terms related to contracts or loans, such as representations, warranties, indemnifications, covenants, debt balances, fixed interest rates, variable interest rates, payment amounts, payment schedules, payment dates, payment methods, etc. There are payment amounts, payment schedules, balloon payment schedules, designation of collateral, designation of collateral alternatives, entities, warranties, guarantors, collateral, personal guarantees, liens, terms, mortgage conditions, default conditions, consequences of default, etc. A party can have, without limitation, a set of attributes such as identity, creditworthiness, activities, actions, business practices, contract performance status, information regarding accounts receivable, information regarding accounts payable, information regarding the value of collateral, and other types of information. In certain embodiments, a smart contract may calculate whether a party meets a condition or a covenant, and if the party does not meet such a condition or covenant, it may enable an automated action or trigger other conditions or terms. Those skilled in the art having knowledge of parties and benefiting from the disclosure herein can readily determine the purposes and uses of parties in the various embodiments and contexts disclosed herein.

[0164] As used herein, the terms party attribute, entity attribute, or party / entity attribute are broadly understood to represent the value, characteristics, or state of a party or entity. For example, attributes of a party or entity may include, but are not limited to, value, quality, location, net worth, price, physical condition, health status, security, safety, ownership, identity, creditworthiness, activities, actions, business practices, contract performance, information regarding accounts receivable, information regarding accounts payable, information regarding the value of collateral, and other types of information. In certain embodiments, a smart contract may calculate values, states, or conditions related to the attributes of a party or entity and may enable automated actions or trigger other conditions or terms if the party or entity does not meet such conditions or covenants. Those of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the attributes of a party or entity, can readily determine the purpose and use of these attributes in the various embodiments and contexts disclosed herein.

[0165] As used herein, the term "lender" is broadly understood to represent a party to a contract that provides assets for lending or the proceeds of a loan, and includes individuals, partnerships, corporations, limited liability companies, or other legal organizations. For example, a lender may be, but is not limited to, a prime lender, a subprime lender, a lending syndicate, a corporate lender, a government lender, a bank lender, a secured lender, an unsecured lender, or any other party having rights or obligations with respect to a contract, transaction, or loan providing a loan to a borrower. A lender may have an agent acting on its behalf. Without limitation to other aspects or descriptions of the present disclosure, the term may also be used in combination with other parties or terms of a contract or loan, such as a borrower, a guarantor, an assignment, a warranty, an indemnity, a covenant, a debt balance, a fixed interest rate, a variable interest rate, a payment amount, etc. There are fixed interest rates, variable interest rates, payment amounts, payment schedules, balloon payment schedules, designation of collateral, designation of collateral alternatives, collateral, personal guarantees, liens, terms, mortgage conditions, default conditions, consequences of default, etc. In certain embodiments, the smart contract may calculate whether a lender has met a condition or covenant, and if the lender has not met such condition or covenant, may activate an automated action, notification, or alert, or may trigger other conditions or terms. Those of ordinary skill in the art having knowledge of lenders and benefiting from the disclosure herein can readily determine the purposes and uses of lenders in the various embodiments and contexts disclosed herein.

[0166] As used herein, the term "crowdsourcing service" can be broadly understood to mean services provided or rendered in connection with a crowdsourcing model or transaction. In a crowdsourcing model or transaction, a large group of people or entities contribute to meet a need such as a loan. The crowdsourcing service may be provided by a platform or system, without limitation. A crowdsourcing request may be communicated to a group of information providers, whereby responses to the request are collected, processed, and a reward may be provided to at least one successful information provider. The requirements and parameters may be configured to obtain information related to the status of a set of collateral for a loan. The crowdsourcing request may be made public. In certain embodiments, without limitation, the crowdsourcing service may be implemented by a smart contract, and the reward is managed by a smart contract that automatically assigns a reward to information that processes a response to a crowdsourcing request and meets a set of parameters configured for the crowdsourcing request. Those of ordinary skill in the art having knowledge of crowdsourcing services, benefiting from the disclosure herein, can readily determine the purpose and use of crowdsourcing services in the various embodiments and contexts disclosed herein.

[0167] As used herein, the term "publishing service" may be understood to describe a set of services for making a crowdsourcing request public. The publishing service may be provided by a platform or system, without limitation. In certain embodiments, without limitation, the publishing service may be implemented by a smart contract, and the crowdsourcing request is made public or the publication is initiated by a smart contract. Those of ordinary skill in the art having knowledge of publishing services, benefiting from the disclosure herein, can readily determine the purpose and use of publishing services in the various embodiments and contexts disclosed herein.

[0168] As used herein, the term "interface" is widely understood to represent components that enable interaction and communication, such as components of a computer embodied in software, hardware, or a combination thereof. For example, an interface may be configured to suit various purposes and various applications and contexts, such as an application programming interface, a graphical user interface, a user interface, a software interface, a marketplace interface, a demand aggregation interface, a crowdsourcing interface, a secure access control interface, a network interface, a data integration interface, a cloud computing interface, or a combination thereof. The interface may function, without limitation, as a way to input, receive, or display data within the scope of lending, borrowing, recovery, integration, factoring, brokering, or seizure. The interface may function as an interface for another interface. Without being limited to other aspects or descriptions of the present disclosure, the interface can be used in combination with an application, a process, a module, a service, a layer, a device, a component, a machine, a product, a subsystem, an interface, a connection, or as part of a system. In certain embodiments, the interface is embodied in software, hardware, or a combination thereof and stored in a medium or memory. Those skilled in the art, having the benefit of the disclosure herein and knowledge of interfaces, can readily determine the purpose and use of interfaces in the various embodiments and contexts disclosed herein.

[0169] As used herein, the term graphical user interface refers to a type of interface that enables a user to interact with a system, computer, or other interface, and can be understood as one in which the interaction or communication is achieved through graphical devices or representations. A graphical user interface may be a component of a computer, or may be embodied in computer-readable instructions, hardware, or a combination thereof. A graphical user interface can serve many different purposes and can be configured for different applications or contexts. Such an interface can function, but is not limited to, as a method of receiving or displaying data using visual representations, stimuli, or interactive data. A graphical user interface may function as an interface for another graphical user interface or for other interfaces. Without being limited to other aspects or descriptions of the present disclosure, a graphical user interface can be used in combination with, or as part of, an application, process, module, service, layer, device, component, machine, product, subsystem, interface, connection, or system. In certain embodiments, a graphical user interface is embodied in computer-readable instructions, hardware, or a combination thereof and may be stored in a medium or memory. A graphical user interface may be configured to accommodate any input type, such as a keyboard, mouse, touch screen, etc. A graphical user interface may be configured for any desired user interaction environment, including, for example, dedicated applications, web page interfaces, or combinations thereof. Those skilled in the art, having the benefit of the disclosure herein and knowledge of graphical user interfaces, can readily determine the purposes and usage methods of graphical user interfaces in the various embodiments and contexts disclosed herein.

[0170] As used herein, the user interface is an interface for a user to interact with a system, computer, or other device, and can be understood as one in which interactions and communications are carried out by means of graphical devices and representations. The user interface may be a component of a computer embodied in software, hardware, or a combination thereof. The user interface may be stored in a medium or memory. The user interface may include a drop-down menu, table, form, etc. with default, template, recommended, or pre-set conditions. In certain embodiments, the user interface may include voice interaction. Without being limited to other aspects or descriptions of the present disclosure, the user interface can be used in combination with an application, circuit, controller, process, module, service, layer, device, component, machine, product, subsystem, interface, connection, or as part of a system. The user interface can serve many different purposes and is configured for different applications and contexts. For example, the lender-side user interface includes a function to display multiple customer profiles, but may be restricted from making certain changes. The debtor-side user interface may include functions to view and modify user account details. The third-party neutral-side interface (e.g., a third party without an interest in the underlying transaction such as a regulatory authority, auditor, etc.) may have a function to enable the monitoring of a company and the display of anonymized user data without the ability to manipulate the data, and may also have access scheduled according to the third party and the purpose of access. The third-party stakeholder-side interface (e.g., a third party who may have an interest in the underlying transaction such as a collector, debtor advocate, investigator, partial owner, etc.) can include a function to enable the display of specific user data while restricting changes. Many further functions of these user interfaces are available in the embodiments of the systems and / or procedures described throughout the present disclosure.Accordingly, the advantages of the present disclosure can be applied to a wide variety of processes and systems, which may be regarded as services herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of user interfaces, can readily determine the purposes and uses of the user interfaces in the various embodiments and contexts disclosed herein. Particular considerations in determining whether the intended interface is a user interface and / or whether aspects of the present disclosure can benefit or enhance the intended system include, but are not limited to, configurable views, the ability to restrict operations or views, reporting capabilities, user profile and data manipulation capabilities, implementation of regulatory requirements, provision of desired user functions for borrowers, lenders, and third parties, and the like.

[0171] The interfaces and dashboards used herein are widely understood to describe components that enable interaction or communication, such as components of a computer implemented in software, hardware, or a combination thereof. The interfaces and dashboards can obtain, receive, present, or otherwise manage items, services, offerings, or other aspects of transactions or loans. For example, the interfaces and dashboards can serve many different purposes or be configured for different applications or contexts, such as application programming interfaces, graphical user interfaces, user interfaces, software interfaces, marketplace interfaces, demand aggregation interfaces, cloud sourcing interfaces, secure access control interfaces, network interfaces, data integration interfaces, cloud computing interfaces, or combinations thereof. The interface or dashboard can function as a way to receive or display data, among other things, within the context of lending, borrowing, collection, integration, factoring, brokering, or seizure. The interface or dashboard can function as an interface or dashboard for another interface or dashboard. Without being limited to other aspects or descriptions of the present disclosure, the interface can be used in combination with an application, circuit, controller, process, module, service, layer, device, component, machine, product, subsystem, interface, connection, or as part of a system. In certain embodiments, the interface or dashboard can be embodied not only in computer-readable instructions, hardware, or a combination thereof, but can also be stored in a medium or memory. Those skilled in the art, having the benefit of the disclosure herein and the knowledge normally available for the systems contemplated, can readily determine the purposes and uses of the interfaces and / or dashboards in the various embodiments and contexts disclosed herein.

[0172] As used herein, the term "domain" is widely understood to describe the scope or context of a transaction and / or communications related to the transaction. For example, a domain may be, but is not limited to, a domain for execution, a domain for digital assets, a domain in which a request is published, a domain to which social network data collection and monitoring services are applied, a domain to which Internet of Things data collection and monitoring services are applied, a network domain, a geolocation domain, a jurisdiction location domain, and a time domain, and may serve a number of different purposes or be configured for different applications or contexts. Without limitation to other aspects or descriptions of the present disclosure, one or more domains may be utilized in relation to any application, circuit, controller, process, module, service, layer, device, component, machine, product, subsystem, interface, connection, or as part of a system. A domain is embodied in computer-readable instructions, hardware, or a combination thereof and stored in a medium or memory. A person of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of domains, can readily determine the purposes and uses of domains in the various embodiments and contexts disclosed herein.

[0173] As used herein, the term "request" (and variations thereof) is broadly understood to represent an act or instance of initiating or demanding the provision of something (such as information, response, object, etc.). Specific types of requests may serve a number of different purposes or be configured for different applications or contexts. For example, but not limited to, formal legal requests (such as subpoenas), borrowing requests (such as loans), or crowdsourcing requests. A system can be used to execute a request or to fulfill a request. When discussing legal measures, borrowing a loan, or a crowdsourcing service, various forms of requests may be included without limitation. One of ordinary skill in the art having knowledge of the contemplated system and benefiting from the disclosure herein can readily determine the value of the requests implemented in the embodiments. Although specific examples of requests are described herein for illustrative purposes, any embodiments benefiting from the disclosure herein and any considerations understood by one of ordinary skill in the art benefiting from the disclosure herein are specifically contemplated within the scope of this disclosure.

[0174] As used herein, the term "reward" (and variations thereof) is broadly understood to represent something received or provided in response to an action or stimulus, or consideration. Rewards can be monetary or non-monetary, with no limitation. Specific types of rewards can serve many different purposes or be configured for different applications or contexts, without limitation, such as reward events, reward claims, monetary rewards, rewards obtained as a dataset, reward points, and other forms of rewards. Rewards, like other actions, can be triggered, assigned, generated for innovation, provided for evidence submission, requested, provided, selected, administered, managed, configured, assigned, communicated, and identified without limitation. A system can be utilized to perform the aforementioned actions. When discussing or incentivizing specific actions, various forms of rewards may be included, but are not limited to this. In certain embodiments herein, rewards may be utilized as a specific incentive (e.g., rewarding a specific person who responds to a crowdsourcing request), or as a general incentive (e.g., providing a reward in response to a successful crowdsourcing request in addition to, or instead of, rewarding a specific person who responds). Those of ordinary skill in the art having knowledge of rewards and benefiting from the disclosure herein can readily determine the value of the rewards implemented in the embodiments. Specific examples of rewards are described herein for illustrative purposes, but any embodiments that benefit from the disclosure herein, and any considerations understood by those of ordinary skill in the art who benefit from the disclosure herein, are specifically contemplated within the scope of this disclosure.

[0175] The term "robot process automation system" as used herein may be broadly understood to describe a system that can perform the tasks of, or provide the needs of, the systems of the present disclosure. For example, a robotic process automation system may be configured for, but not limited to, the following. Negotiating loan terms, negotiating loan refinancing, loan collection, integrating a series of loans, managing factoring loans, brokering mortgage loans, training for levy negotiation, constructing a cloud sourcing request based on a set of loan attributes, setting rewards. Determining a set of domains where requests are published, constructing the content of requests, constructing data collection and monitoring actions based on a set of loan attributes, determining a set of domains where Internet of Things data collection and monitoring services are applied, iteratively training and improving based on a series of results, and the like. A robot process automation system may include a set of data collection and monitoring services, an artificial intelligence system, and another robot process automation system that is a component of a higher-level robot process automation system. A robotic process automation system may include the following. At least one of a series of residential loan activities and a series of residential loan interactions includes activities such as marketing activities, identifying borrower candidates, identifying properties, identifying collateral, borrower qualification, title search, title confirmation, property appraisal, property inspection, property evaluation, income confirmation, demographic analysis of borrowers, identifying capital providers, determining available interest rates, determining available payment terms, determining available interest rates. Analysis of existing residential loans, comparative analysis of the terms of existing and new residential loans, completion of the application workflow, input of application items, creation of residential loan contracts, completion of the schedule of residential loan contracts, negotiation of residential loan terms with capital providers, negotiation of residential loan terms with borrowers, transfer of ownership, establishment of mortgage rights, conclusion of residential loan contracts, and the like.An exemplary and non-limiting robotic process automation system can include one or more user interfaces, an interface with the circuitry and / or controllers throughout the system to provide, request, and / or share data, and / or one or more artificial intelligence circuits configured to iteratively improve one or more operations of the robotic process automation system. One of ordinary skill in the art, having the benefit of the disclosure herein and the knowledge generally available for the intended robotic process automation system, can readily determine the circuitry, controllers, and / or devices to include to implement a robotic process automation system that performs the selected functions for the intended system. Specific examples of robotic process automation systems are described herein for illustrative purposes, but there are any embodiments that benefit from the disclosure herein and any considerations that are understood.

[0176] In this specification, the term "loan-related action" (and other related terms such as "loan-related event" and "loan-related activity") is used and may be broadly understood to describe one or more actions, events, or activities related to a transaction that includes a loan within the transaction. Actions, events, or activities can occur without limitation in many different contexts of a loan, such as lending, refinancing, consolidation, factoring, brokering, seizure, management, negotiation, collection, procurement, enforcement, and data processing (such as data collection), or combinations thereof. Loan-related actions may be used in the form of a noun (for example, a notice of default being communicated to the borrower as an official notice, which is considered a loan-related action). Loan-related actions, events, or activities may refer to a single instance or may characterize a group of actions, events, or activities. For example, a single action such as sending a specific notice to a debtor who has passed the payment due date is considered a loan-related action. Similarly, a series of actions from start to finish related to default may also be considered a single loan-related action. Appraisals, inspections, financing, and record-keeping, although not limited to these, are all loan-related actions that have occurred and may be considered loan-related events. Similarly, the activities to complete these actions may also be considered, without limitation, loan-related activities (such as appraisals, inspections, financing, record-keeping, etc.). In certain embodiments, a smart contract or robotic process automation system may perform loan-related actions, loan-related events, or loan-related activities for one or more of the parties and process the appropriate tasks to complete them. In some cases, a smart contract or robotic process automation system may fail to complete a loan-related action, and depending on such a result, this may enable automated actions or trigger other conditions or terms.Those of ordinary skill in the art who have knowledge of loan-related actions, events, and activities, having benefited from the disclosure herein, can readily determine the purpose and use of this term in the various forms and embodiments described throughout this disclosure.

[0177] Also, the terms loan-related actions, events, and activities as used herein may more specifically be used to describe the circumstances of a loan call. A loan call is an act by which a lender can demand repayment of a loan, usually triggered by some other condition or term such as a payment delay. For example, if a borrower defaults on payments three times in a row, causing a significant delay in the loan payment schedule and the loan to fall into default, loan-related actions may occur. In such a scenario, the lender may initiate actions related to the loan call to protect their rights. In such a scenario, the borrower will probably have to pay a delay or penalty fee, which is also considered a loan-related action for the loan call. In some situations, a smart contract or robotic process automation system can initiate, manage, or process loan-related actions for a loan call, including but not limited to providing notifications, investigating and collecting payment histories, or performing other tasks as part of the loan call. Those of ordinary skill in the art, having benefited from the disclosure herein, having knowledge of loan-related actions for a loan call, or other forms of this term and its various forms, can readily determine the purpose and use of this term in the context of the events or other various embodiments and contexts disclosed herein.

[0178] Also, as described herein, the terms actions, events, and activities related to a loan may, more specifically, be used to describe the circumstances regarding the repayment of a loan. Typically, in a transaction involving a loan, although not limited thereto, the loan is repaid along a repayment schedule. Various actions may be taken to provide the borrower with information for repaying the loan, and actions may be taken by the lender to receive repayment of the loan. For example, when a borrower makes a repayment on a loan, loan-related actions for the repayment of the loan may occur. Although not limited thereto, such repayments may include several actions that occur regarding the repayment of the loan, such as the repayment being submitted to the lender, a loan ledger or accounting reflecting that the repayment has been made, a receipt being provided to the borrower for the repayment made, and the borrower being requested to make the next repayment. In some circumstances, a smart contract or robotic process automation system may initiate, manage, or process such loan-related actions for the repayment of the loan, which may include, but is not limited to, providing a notice to the lender, investigating and collecting the repayment history, providing a receipt to the borrower, providing a notice of the next repayment required of the borrower, or other actions related to the repayment of the loan. Persons of ordinary skill in the art having knowledge of loan-related actions for the repayment of a loan, or other forms of this term and its various forms, in light of the disclosure herein, can readily determine the purpose and use of this term in the context of an event or the various other embodiments and contexts disclosed herein.

[0179] As described herein, the terms actions, events, and activities related to a loan can also be used more specifically to describe the context of a payment schedule or an alternative payment schedule. Typically, in a transaction involving a loan, but not limited to, the loan is repaid with a payment schedule that may change over time. Alternatively, such a payment schedule may establish and agree upon an alternative payment schedule. For the lender or borrower, various actions may be taken in relation to the payment schedule or alternative payment schedule, such as: the amount of the payment, the due date of the payment, what penalties or fees are attached to a late payment, or other conditions. For example, if the borrower makes an early payment on the loan, loan-related actions regarding the loan's payment schedule and alternative payment schedule may occur. In this case, perhaps the payment is applied as principal and regular payments continue. Without limitation, loan-related actions for the payment schedule and alternative payment schedule may consist of some of the actions that may occur regarding the payment of the loan, such as the payment being presented to the lender, the loan ledger or accounting reflecting that the payment has been made, the receipt provided to the borrower for the payment made, the calculation of whether any fees are attached or paid, and the borrower being requested for the next payment. In certain embodiments, the activity of determining the payment schedule or alternative payment schedule may be a loan-related action, event, or activity. In certain embodiments, the activity of communicating the payment schedule or alternative payment schedule (e.g., to the borrower, lender, or third party) may be a loan-related action, event, or activity.In some situations, a smart contract circuit or robotic process automation system may initiate, manage, or process such loan-related actions for a payment schedule and an alternative payment schedule, which may include, but are not limited to, providing notice to the lender, investigating and collecting payment history, providing receipts to the borrower, calculating the next payment date, calculating the final payment amount and date, providing notice of the next payment date to the borrower, determining a payment schedule or an alternative payment schedule, transmitting a payment schedule or an alternative payment schedule, or other actions related to the payment of a loan. A person of ordinary skill in the art, having the benefit of the disclosure herein, has knowledge of payment schedules and alternative payment schedules, or other forms of this term and various forms thereof, for loan-related actions, and can thus readily determine the purpose and use of this term in the events or other various embodiments and contexts disclosed herein.

[0180] As used herein, the term regulatory notice requirement (and derivatives thereof) is broadly understood to represent an obligation or condition to convey a notice or message to another party or entity. Regulatory notice requirements may be required under one or more triggering conditions or may be generally required. For example, a lender may have regulatory notice requirements to provide a borrower with notice of loan default, loan interest rate changes, or other notices related to the transaction or loan. The regulatory aspect of this term may arise from jurisdiction-specific laws, rules, or codes that require specific obligations of communication. In certain embodiments, policy directives may be treated as regulatory notice requirements. For example, where a lender has an internal notice policy that may exceed the regulatory requirements of one or more jurisdictions related to the transaction. The notice aspect generally relates to formal communication and can take various forms, but specific forms of notice, such as registered mail, facsimile, email transmission, or other physical or electronic forms, the content of the notice, and / or timing requirements related to the notice may be specifically specified. The requirement aspect relates to the necessity for a party to fulfill its obligation in order to comply with laws, rules, codes, policies, standard practices, or the terms of a contract or loan. In certain embodiments, a smart contract can process or trigger regulatory notice requirements and provide appropriate notice to the borrower. This may be based on at least one of the lender, the borrower, the funds provided through the loan, the repayment of the loan, the collateral of the loan, or other locations specified in the terms of the loan, transaction, or contract. If a party or entity fails to meet such regulatory notice requirements, specific changes in the rights or obligations between the parties may be triggered. For example, if a lender provides a non-compliant notice to a borrower, automated actions or triggers based on the terms of the loan and / or external information (e.g., regulatory prescriptions, the lender's internal policy, etc.) may be executed by a smart contract circuit and / or a robotic process automation system.Those of ordinary skill in the art, with the benefit of the disclosure herein and the knowledge normally available to those of ordinary skill in the art regarding the contemplated system, can readily determine the purpose and use of the regulatory notice requirements in the various embodiments and contexts disclosed herein.

[0181] Also, in this specification, the term "regulatory notice requirement" can be used to describe an obligation or condition to communicate a notice or message to another party or entity based on general or specific policies, rather than based on the laws, rules, and regulations of a particular jurisdiction or locale (such as jurisdiction-specific regulatory notice requirements). Regulatory authority notice requirements may be discretionary, or advisable, or proposed, rather than mandatory, under one or more triggering or generally required conditions. For example, a lender can have a policy-based regulatory notice requirement that the borrower be notified of a new information-providing website, that future loan interest rates will change, or other notices related to the loan that are not mandatory but are advisory or useful (although mandatory notices may also fall within the scope of policy-based). Thus, in the policy-based use of the term "regulatory notice requirement", the smart contract circuitry can process or trigger regulatory notice requirements and provide the borrower with appropriate notices, whether or not required by law, rule, or code. The basis for the notice or communication may be due to prudence, courtesy, custom, or obligation.

[0182] Also, the term regulatory notice may be used to represent an obligation or condition to convey a notice or message to other parties or entities such as lenders and borrowers. A regulatory notice can be specifically directed to any party or entity, or a group of parties or entities. For example, when a borrower defaults on loan payments and thus falls into default, it may be desirable or necessary to provide the borrower with certain notices or communications. Thus, such regulatory notices directed to specific users such as lenders and borrowers may be made as a result of jurisdiction-specific or policy-based regulatory notice requirements. Thus, depending on the situation, a smart contract may process or trigger a regulatory notice to provide an appropriate notice to a specific party such as a borrower. This notice may or may not be required by law, regulation, or code, but may also be provided based on prudence, courtesy, or custom. If a party or entity fails to meet such regulatory notice requirements for a specific party, a situation may arise where certain rights are waived by one or more parties or entities, automated actions become possible, or other conditions and terms are triggered. A person skilled in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine the purpose and use of regulatory notice requirements based on the various embodiments and contexts disclosed herein.

[0183] The term regulatory seizure requirement (and its derivatives) as used herein is widely understood to represent obligations and conditions for causing loan defaults, security seizures and recoveries, and other related seizure actions. Regulatory seizure requirements may be required by one or more triggering conditions, or conditions generally required. For example, a lender may have a regulatory seizure requirement to provide notice of loan default, or other notice related to loan default, to the borrower prior to seizure. The regulatory aspect of this term may arise from laws, rules, regulations specific to a jurisdiction that require certain communication obligations. The seizure aspect generally relates to specific remedies related to seizure, or repossession of collateral and loan default, which may take many different forms and may be specified in the loan terms. The requirement aspect relates to the necessity for a party to complete its obligations for compliance or performance of laws, rules, regulations, or contracts and loan terms. In certain embodiments, a smart contract circuit can process or trigger regulatory seizure requirements and process appropriate tasks related to such seizure actions. This may be based on at least one jurisdiction where the lender, borrower, funds provided via the loan, loan repayment, and loan security are located, or other locations specified by the terms of the loan, transaction, or contract. If a party or entity fails to meet such regulatory seizure requirements, certain rights may be waived by the party or entity (e.g., the lender), or non-compliance with such regulatory notice requirements may enable automated actions, or other conditions or terms may be triggered. One of ordinary skill in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine the purpose and use of the regulatory mortgage requirements in the various embodiments and contexts disclosed herein.

[0184] Also, the term regulatory seizure requirement may give rise to a loan default, security seizure or recovery, other related seizure actions, or obligations utilized therefor, or may be utilized therefor. It is based on general or specific policies, rather than on laws, rules, or codes of a particular jurisdiction or a particular place (such as jurisdiction-specific regulatory seizure requirements). Regulatory seizure requirements may be discretionary, proposed, or generally required under one or more triggering conditions. For example, a lender may provide a borrower with notice of a loan default, or provide other notices related to a transaction or loan that are advisory or useful but not obligatory, as a policy-based regulatory seizure requirement (although obligatory notices may also fall within those based on policy). Thus, in the policy-based use of the term regulatory lien requirement, a smart contract can process or trigger a regulatory lien requirement and provide appropriate notice to the borrower, even though it may not be required by law, rule, or code. The basis for the notice or communication may be discretion, courtesy, custom, industry practice, or obligation.

[0185] Also, in this specification, the term regulatory seizure requirement may be used to represent obligations or conditions to be executed with respect to specific users such as lenders and borrowers. Regulatory notices can be specifically directed to any party or entity, or a group of parties or entities. For example, when a borrower defaults on a loan due to failure to make a scheduled payment, it may be desirable or necessary to provide the borrower with specific notices or communications. Thus, such regulatory seizure requirements are directed at specific users such as lenders and borrowers and may be the result of regulatory seizure requirements specific to a jurisdiction or regulatory seizure requirements based on policies. For example, the seizure requirements may be related to a specific entity involved in the transaction (e.g., the current borrower has been a customer for 30 years and thus receives special treatment), or a class of entities (e.g., "preferred" borrowers or borrowers with "first-time defaults"). Thus, depending on the situation, the smart contract circuitry can process or trigger obligations or actions that must be carried out in accordance with the seizure, and those actions may or may not be directed by a specific party such as a lender or borrower, and may or may not be required by law, regulation, or code, or may be provided out of prudence, courtesy, or custom. In certain embodiments, the obligations or conditions to be executed with respect to a specific user may form part of the agreement or may otherwise be known to the specific user to whom it applies (e.g., in the following cases). Also, in certain embodiments, the obligations or conditions to be executed with respect to a specific user may not be known to the specific user to whom it applies (e.g., a bank has a policy related to the class of users to which a specific user belongs, but the specific user is not aware of that class).

[0186] The terms "value," "valuation," "valuation model" (and similar terms) as used herein should be broadly understood to describe an approach for assessing and determining the estimated value of collateral. Without limitation to other aspects or descriptions of the present disclosure, a valuation model can be used in combination with collateral (e.g., collateral property), artificial intelligence services (e.g., to improve the valuation model), data collection and monitoring services (e.g., to set valuation amounts), valuation services (e.g., the process of informing, using, and / or improving the valuation model), and / or results related to collateral transactions (e.g., as a basis for improving the valuation model). A "jurisdiction-specific valuation model" is also used as a valuation model used in a particular geographic / jurisdictional area or region, where the jurisdiction can be specific to the lender, borrower, transfer of funds, loan payment, or loan collateral jurisdiction, or a combination thereof. In certain embodiments, a jurisdiction-specific valuation model takes into account the impact of the jurisdiction on the valuation of collateral. This includes, at a minimum, the rights and obligations of the borrower and lender in the relevant jurisdiction, the impact of the jurisdiction on the ability to transfer, import, export, substitute, and / or liquidate collateral, the impact of the jurisdiction on the timing between default and seizure or recovery of collateral, and / or the impact of the jurisdiction on the volatility and / or sensitivity of collateral value determination. In certain embodiments, a location-specific valuation model takes into account the impact of the location on the valuation of collateral. This may include a similar list as the impact of jurisdiction (although the location of jurisdiction may be different from the location), but may also include additional impacts such as weather-related impacts, the distance of collateral from monitoring, maintenance, or seizure services, and / or the proximity of risk phenomena (e.g., faults, industrial areas, nuclear power plants, etc.). A valuation model may utilize, as part of the valuation of collateral, the valuation of offset collateral (e.g., general value such as similar items of collateral, market value of similar or counterfeitable collateral, and / or value of items correlated with the value of collateral).In certain embodiments, the artificial intelligence circuit includes one or more machine learning and / or artificial intelligence algorithms and utilizes, for example, information over time between multiple transactions including similar or offsetting collateral to improve the evaluation model and / or utilizes result information from the same or other transactions (e.g., when a loan transaction has been successfully or unsuccessfully completed and / or in response to a seizure or liquidation event of collateral indicating an actual collateral evaluation determination) to iteratively improve the evaluation model. In certain embodiments, the artificial intelligence circuit is trained through interaction with a collateral evaluation dataset, such as previously determined evaluations, and / or a trainer (e.g., a human, an accounting evaluation, and / or other evaluation data). In certain embodiments, the evaluation model and / or parameters of the evaluation model (e.g., assumptions, calibration values, etc.) may be determined and / or negotiated as part of the transaction conditions (e.g., a loan, a set of loans, and / or a subset of a set of loans). One of ordinary skill in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine which aspects of the disclosure are beneficial for a particular use of the evaluation model and how to select or combine evaluation model embodiments to implement the evaluation model. Considerations for one of ordinary skill in the art when selecting an appropriate evaluation model, or specific considerations for embodiments of the present disclosure, include, but are not limited to, the following: legal considerations of the evaluation model considering the jurisdiction of the collateral, data available for a given collateral, the type of transaction / loan expected, the type of specific collateral, the ratio of the loan to the value, the ratio of the collateral to the loan, the total amount of the transaction / loan, the borrower's credit score, the type of loan and / or accounting practices of the relevant industry, uncertainties related to any of the above, and / or sensitivities related to any of the above. Specific examples of evaluation models and considerations are described herein for illustrative purposes, but any embodiments that benefit from the disclosure herein and any considerations understood by one of ordinary skill in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0187] As used herein, the term "market value data" or "market information" (and other forms or variations thereof) is widely understood to represent data or information related to the valuation of real estate, assets, collateral, or other valuable items that may be used as the subject of a loan, security, or transaction. Market value data or market information can change from moment to moment and can be estimated, calculated, objectively or subjectively determined from a variety of information sources. Market value data or market information may be directly related to the item of collateral or may be related to an offset item of collateral. Market value data or market information includes financial data, market evaluations, product evaluations, customer data, market research to understand customer needs and preferences, competitive information such as competing companies and suppliers, a business entity's sales, transactions, customer acquisition costs, customer lifetime value, brand awareness, cancellation rates, and the like. This term can occur in many different contexts of contracts and loans, such as lending, refinancing, consolidation, factoring, brokerage, seizure, data processing (such as data collection), etc., and combinations thereof are also not limited. Market value data or market information can be used as a noun to identify a single numerical value or multiple numerical values or data. For example, market value data or market information may be used by a lender, without being limited to these situations, to determine whether real estate or an asset functions as collateral for a secured loan, or alternatively, may be used for the determination of seizure in the event of a loan default. Also, market value data or market information may be used to determine the numerical value or calculation of the loan-to-value. In certain embodiments, a collection service, a smart contract circuit, and / or a robotic process automation system may estimate or calculate market value data or market information from one or more data or information sources. In some cases, the value of market data or market information can enable automated actions or trigger other conditions or terms depending on the data / information contained therein.A person skilled in the art, having benefited from the disclosure herein and possessing the knowledge normally obtained regarding the contemplated systems and available related market information, can readily determine the purpose and use of this terminology in the various forms, embodiments, and contexts disclosed herein.

[0188] Terms such as similar collateral, collateral-like, offset collateral, etc., used herein are widely understood to describe property, assets, valuable items that may be similar in nature to collateral for a loan or other transaction (e.g., valuable items held as collateral). Similar collateral refers to property, assets, collateral, or other valuable items that are aggregated, substituted, or otherwise referenced together with other collateral. It is presented in the form of common attributes such as the history of the collateral item, the ownership of the collateral item, the administrator of the collateral item, the security of the collateral item, the status of the owner of the collateral item, the lien of the collateral item, the custody status of the collateral item, the geographical location of the collateral item, the jurisdictional location of the collateral item, etc. In certain embodiments, offset collateral refers to an item that has a correlation in value with the collateral item. For example, offset collateral may exhibit similar price fluctuations, volatility, storage requirements, etc. as the collateral item. In one embodiment, similar collateral may be aggregated to form a larger security interest and serve as collateral for additional loans or distributions, or transactions. In certain embodiments, offset collateral may be used to notify of the evaluation of the collateral. In certain embodiments, a smart contract circuit or robotic process automation system may estimate or calculate numerical values, data, or information related to similar collateral, or perform functions related to the aggregation of similar collateral. A person skilled in the art, having benefited from the disclosure herein and possessing the knowledge normally available regarding the contemplated systems, can readily determine the purpose and use of similar collateral, offset collateral, or related terms related to collateral in the various forms, embodiments, and contexts disclosed herein.

[0189] The term "restructuring" (and other forms such as "restructuring") as used herein is widely understood to mean modifying the terms, properties, collateral, and other considerations that affect a loan or transaction. Restructuring may succeed with modified terms adopted among the parties, or it may fail without modification or restructuring, but is not limited thereto. Restructuring may occur in various contexts of contracts or loans, such as applications, loans, refinancing, collections, consolidations, factoring, brokering, seizures, etc., but is not limited thereto. Also, debt restructuring means that the debt owed to a party is modified in terms of time, amount, collateral, and other conditions. For example, a borrower may restructure the loan debt to cope with changes in its financial situation, or a lender may offer to restructure the debt to the borrower for its own needs or prudence. In certain embodiments, a smart contract circuit or robotic process automation system can automatically or manually restructure a debt, create options for debt restructuring, manage the process of negotiating or executing debt restructuring, or perform other actions related to restructuring or modifying the terms of a loan or transaction. One of ordinary skill in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine the purpose and use of this term in the various embodiments and contexts disclosed herein, regardless of whether it is in the context of debt.

[0190] As used herein, social network data collection, social network monitoring services, social network data collection and monitoring services (and their various forms and derivatives) may be broadly understood to refer to services related to the acquisition, organization, observation, and other actions on data and information obtained from one or more social networks. The social network data collection and monitoring services may be part of a related service system or a set of independent services. The social network data collection and monitoring services may be provided by a platform or system without limitation. The social network data collection and monitoring services can be used in various situations, such as lending, borrowing, negotiation, collection, integration, factoring, intermediation, seizure, and combinations thereof, but are not limited thereto. The requirements for social network data collection and monitoring may be requested from other services, automatically initiated, or triggered to occur based on conditions and situations using set parameters. An interface may be provided to configure, initiate, display, or otherwise interact with the social network data collection and monitoring services. As used herein, a social network refers to any mass platform where data and communication occur between individuals and / or entities, and the data and communication are at least partially accessible to the embodiment system. In certain embodiments, social network data includes publicly available information (e.g., accessible without any permission). In certain embodiments, social network data includes information that is appropriately accessible to the embodiment system but is generally not freely available, but may include subscription access or other access to information that is accessible (e.g., in accordance with the privacy policy with the users of the social network). The social network may be primarily of a social nature, but may additionally or alternatively include professional networks, alumni networks, industry-related networks, academically oriented networks, etc.In certain embodiments, the social network may be a crowdsourcing platform, e.g., a platform configured to receive queries or requests directed to users (and / or a subset of users meeting potentially specified criteria), where the users can recognize that certain communications will be shared and accessible to at least a portion of the users of the platform and / or become publicly available. In certain embodiments, but not limited to, social network data collection and monitoring services may be performed by a smart contract circuit or a robotic process automation system. Those skilled in the art, by having the benefit of the disclosure herein and the knowledge normally available for the intended systems, can readily determine the purposes and uses of social network data collection and monitoring services in the various embodiments and contexts disclosed herein.

[0191] As used herein, the terms cloud source and social network information may also be understood more broadly to describe information obtained or provided in connection with a crowdsourcing model or transaction, or information obtained or provided on or in connection with a social network. Cloud source information and social network information may be provided by a platform or system, without limitation. Cloud source and social network information may be obtained, provided, or communicated to or from a group of information providers, whereby responses to requests may be collected and processed. Cloud source or social network information may provide information, conditions, or factors related to a loan or contract. Cloud source and social network information may be non-public, public, or a combination thereof, without limitation. In certain embodiments, without limitation, cloud source and social network information may be obtained, provided, collated, or processed by a smart contract circuit, and cloud source and social network information may be managed by a smart contract circuit that processes information to meet a set of configured parameters. One of ordinary skill in the art having the knowledge normally available for the contemplated systems and having the benefit of the disclosures herein can readily determine the purpose and use of this term in the various embodiments and contexts disclosed herein.

[0192] As used herein, the term "negotiate" (and other forms such as "negotiating" and "negotiation") is widely understood to represent discussions and communications among parties or entities to reach compromises, results, and agreements. Negotiations can result in a successful outcome where the parties agree on terms, a failed outcome where the parties do not agree on certain terms, or any combination thereof. Negotiations can succeed in one context or for one purpose and fail in another context or for another purpose. Negotiations can occur in various scenarios related to contracts and loans, such as lending, refinancing, collection, consolidation, factoring, brokerage, seizure, etc., but are not limited thereto. For example, a borrower can negotiate interest rates and loan terms with a lender. In another example, a defaulting borrower can negotiate alternative solutions with the lender to avoid seizure. In certain embodiments, a smart contract circuit or robotic process automation system may negotiate for one or more of the parties and handle appropriate tasks to complete or attempt to complete the negotiation of terms. In some cases, negotiations by a smart contract or robotic process automation system may not be completed or may not succeed. When a negotiation is successful, automated actions may be enabled or other conditions or clauses implemented by the smart contract circuit or robotic process automation system may be triggered. A person of ordinary skill in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine the purposes and uses of negotiation in the various embodiments and contexts disclosed herein.

[0193] The term "negotiate" in various forms can be used more specifically in this specification in verb form (e.g., "to negotiate") or noun form (e.g., "a negotiation") to represent the context of a mutual conversation leading to a result. For example, a robotic process automation system may negotiate terms on behalf of a party, which is the use as a verb phrase. In another example, a robotic process automation system may negotiate terms for a loan modification, negotiate an integrated offer, or negotiate other terms. As a noun phrase, a negotiation (e.g., an event) may be carried out by a robotic process automation system. Thus, in some situations, a smart contract circuit or a robotic process automation system may negotiate terms (e.g., as a verb phrase), and the description of doing so may be regarded as a negotiation (e.g., as a noun phrase). Those skilled in the art having knowledge of negotiation and negotiation, or other forms of the word "negotiation", and benefiting from the disclosure of this specification can easily determine the purpose and use of this term in the various embodiments and contexts disclosed herein.

[0194] Also, the word "negotiate" in various forms can specifically be used to represent a result, such as a mutual compromise or the completion of a negotiation leading to a result. For example, a loan may be regarded as having been negotiated by a robotic process automation system or the like as a successful result leading to an agreement between the parties when the negotiation is completed. Thus, in some situations, a smart contract circuit or a robotic process automation system may be negotiating to complete a series of terms or a negotiated loan. Those skilled in the art, benefiting from the disclosure of this specification and having the knowledge normally available for the assumed system, can easily determine the purpose and use of this term related to the mutually agreed result by the completion of the negotiation in the various embodiments and contexts disclosed herein.

[0195] Also, various forms of the term "negotiate" may be specifically used to characterize events such as negotiation events or event negotiations to reach conditions acceptable to the parties. Events that require agreement or compromise between the parties may be regarded as negotiation events without limitation. For example, during the procurement of a loan, the process of reaching a set of mutually acceptable conditions between the parties may be regarded as a negotiation event. Therefore, in some situations, a smart contract circuit or a robotic process automation system can respond to the communication, actions, or actions of the parties for negotiation events.

[0196] As used herein, the term collection (and other forms such as collect or collecting) is broadly understood to mean obtaining items of a tangible (such as physical items), intangible (such as data, licenses, or rights), or monetary (such as payments), or other obligations or assets from a source. Generally, this term may relate to the entire prospect of obtaining such items from early-stage related operations to later-stage related operations, or to the complete completion of the acquisition of the item. A collection may result in success where an item is bid for by a party, or in failure where an item is not bid for or not acquired by a party, or in combinations thereof (such as when the bidding for an item is delayed or there are other defects), but is not limited thereto. Collections can occur in various scenarios of contracts and loans, such as lending, borrowing, consolidation, factoring, brokering, seizure, data processing (such as data collection), etc., but are not limited thereto. Collection may be used in the form of a noun (such as when referring to or characterizing an event, such as data collection or collection of overdue payments), may refer to an inventory of items as a noun (such as when referring to some items in a transaction, such as collection of collateral for a loan), or may be used in the form of a verb (such as when collecting a payment from a borrower). For example, a lender may collect overdue payments from a borrower via an online settlement, or may succeed in collecting overdue payments obtained via a customer service call. In certain embodiments, a smart contract circuit or robotic process automation system may perform collections for one or more parties and process appropriate tasks for completing or attempting collections for one or more items (such as overdue payments). In some cases, negotiations by a smart contract or robotic process automation system may not be completed or may not succeed, and depending on such results, this may enable automated actions or trigger other conditions or terms.A person skilled in the art can benefit from the disclosure herein, have the knowledge normally available for the intended system, and can easily determine the purposes and uses of the collection in the various forms, embodiments, and contexts disclosed herein.

[0197] Also, the term "collection" in various forms can be used more specifically as a noun herein to describe the context of an event or thing such as a collection event or a collection payment. For example, a collection event may refer, without limitation, to a party related to the acquisition of an item in the activity or a communication to another activity. A collection payment may relate to, for example, a payment made by a borrower that was obtained during the collection process or obtained through the collection department of the lender. Although not limited to loans with delinquency, delay, or default, collection can be characterized as a remedy for something that has become delinquent and can be used to describe an event, payment, or department, or other nouns related to a transaction or loan. Thus, in some situations, a smart contract circuit or a robotic process automation system may collect a payment or installment from a borrower, and such an activity may be considered, without limitation, a collection event.

[0198] Also, in this specification, the term "collection" in various forms can be used more specifically as an adjective or the like representing a context related to litigation, such as the result of a collection lawsuit (e.g., a lawsuit regarding late fees or non-payment of a loan). For example, the result of a collection lawsuit may be related to late fees owed by a borrower or other party, and collection efforts related to those late fees may be litigated by the party. Thus, in some situations, a smart contract circuit or a robotic process automation system may receive, determine, or otherwise manage the result of a collection lawsuit.

[0199] Also, the term collection in various forms is more specifically used herein as an adjective and may refer to the context of an acquisition act such as a collection act (e.g., an act that induces a bid or acquisition of payment for a delinquency or default on a debt such as a loan). The terms collection yield, financial yield of collection, and / or financial yield of collection may be used. The result of such a collection act may or may not have a financial yield. For example, as a result of a collection act, one or more outstanding amounts of a loan may be paid, which may result in a financial gain for another party such as a lender. Thus, in some situations, a smart contract circuit or a robotic process automation system may render a financial yield from a collection action, or otherwise manage or support in some way the financial yield of a collection action. In an embodiment, the collection act may include the need for a collection lawsuit.

[0200] Also, in this specification, the term "collection" in various forms (collection ROI, ROI for collection, ROI for collection activities, collection activity ROI, etc.) can be used more specifically to describe the context related to an act of receiving value, such as a collection act with a return on investment (ROI) (for example, an act of inducing a bid or acquisition of payment for delinquency or default on a loan or other debt). The result of such a recovery act may or may not have an ROI, either as an ROI for the recovery act itself (ROI for the recovery act) or as an ROI for a broader loan or transaction that is the subject of the recovery act. For example, the ROI of a recovery act determines whether it is prudent with respect to a default loan, without limitation, depending on whether an ROI is provided to a party such as a lender. The predicted ROI for recovery may be estimated or calculated considering the actual events that transpire. In some situations, a smart contract circuit or robotic process automation system may, without limitation, render an estimated ROI for a recovery act or recovery event, or calculate an ROI for the actual events that transpire in a recovery act or recovery event. In embodiments, such an ROI may be a positive or negative numerical value, regardless of whether it is estimated or actual.

[0201] Terms such as reputation, reputation metrics, lender reputation, borrower reputation, entity reputation, etc. may include general, widely held beliefs, opinions, and / or perceptions generally held about individuals, entities, collateral, etc. Reputation indicators may be determined based on social data including likes and dislikes, reviews of products and services provided by an entity or entities, rankings of companies or products, current and past market and financial data (including prices, predictions, trading recommendations, financial news about an entity, competing companies, and partners). Reputation can be cumulative in that the reputation of a product, or the reputation of a company's leaders or lead scientists, can affect the overall reputation of the company. The reputation of an institution associated with an entity (e.g., the school a student attends) can affect the entity's reputation. In some situations, a smart contract circuit or robotic process automation system may collect or initiate the collection of data related to the above to determine reputation metrics or rankings. A measurement or ranking of an entity's reputation may be used by a smart contract circuit or robotic process automation system to determine whether to enter into a contract with the entity, determine loan terms, determine interest rates, etc. In certain embodiments, reputation judgment indicators may be related to the results of one or more transactions (e.g., comparison of "likes" in a particular social media dataset with result indicators such as successful payments, successful negotiation outcomes, ability to liquidate a particular type of collateral) to determine an entity's reputation metrics or rankings. A person of ordinary skill in the art, having the benefit of the disclosure herein and having knowledge normally available for the intended system, can readily determine the purpose and use of reputation, reputation measurements or rankings, and / or the use of reputation in negotiations, determination of terms, determination of whether to proceed with a transaction, and the various other embodiments and contexts disclosed herein.

[0202] The term "collection" in various forms (e.g., collector) may also be used in this specification to more specifically describe a party or entity that induces, manages, or facilitates a collection act, collection event, or other collection-related context. A person involved such as a collector, or a measure of reputation within the context of a collection, can be estimated or calculated using objective, subjective, or historical metrics or data. For example, a collector may be involved in a collection act, and the reputation of that collector may be used to determine decisions, actions, or conditions. Similarly, a collection may also be used to describe objective, subjective, or historical metrics or data for measuring the reputation of parties such as lenders, borrowers, debtors, etc. In some situations, a smart contract circuit or robotic process automation system may render a collection or countermeasure, or implement a collector, within the context of a transaction or loan.

[0203] Also, in this specification, the terms "collection" and "data collection" in various forms including a data collection system can be used more specifically to describe, without limitation, the context related to the acquisition, organization, processing, or combinations thereof of data. The results of such data collection may or may not be related to the collection of items (e.g., grouping items physically or logically), or actions taken for delinquency (e.g., recovering collateral or liabilities). For example, data collection may be performed by a data collection system, and data is acquired, organized, or processed for prospective or actual transaction or loan decision-making, monitoring, or other purposes. In some situations, a smart contract or robotic process automation system may incorporate, but is not limited to, a data collection or data collection system to perform some or all of the tasks of data collection. A person skilled in the art, having the benefit of the disclosure herein and the knowledge normally available for the intended system, can readily determine and distinguish the purpose and use of collection in the context of the data or information used herein.

[0204] The terms refinancing, refinancing activity(ies), refinancing interaction, refinancing result, and similar terms as used herein are to be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, refinancing and refinancing activities include replacing an existing home loan, loan, bond, debt transaction, etc. with a new home loan, loan, bond, or debt transaction that pays off or terminates a previous financial arrangement. In certain embodiments, any change to the terms of a loan, and / or any material change to the terms of a loan, may be considered a refinancing activity. In certain embodiments, refinancing activities are considered only those changes to a loan agreement that result in different financial outcomes of the loan agreement. Typically, the new loan should be advantageous to the borrower or issuer and / or should be mutually agreeable (e.g., improving the raw financial outcome of one and the securities or other outcome of the other). Refinancing may be done in response to a reduction in interest rates, a reduction in periodic payment amounts, a change in the loan term, a change in the collateral associated with the loan, the consolidation of debt into a single loan, the restructuring of debt, a change in the type of loan (e.g., a change from a variable interest rate to a fixed interest rate), the repayment of a loan that has come due, an expansion of the loan in response to an improvement in the credit score, and / or a change in market conditions (e.g., interest rates, collateral value, etc.).

[0205] Refinancing activities include starting a refinancing offer, starting a refinancing request, setting the refinancing interest rate, setting the refinancing payment schedule, setting the outstanding refinancing balance according to the amount or terms of the refinancing loan, changing the collateral used, changing the terms of the collateral, changing the amount of the collateral, etc., including setting the collateral for refinancing, managing the use of refinancing income, etc. When the terms are changed as part of the refinancing, granting a lien on the collateral of different items as necessary, verifying the ownership of the collateral of new or existing items used to secure the refinanced loan, managing the inspection process of the ownership of the collateral of new or existing items used to secure the refinanced loan, creating a refinancing application for the loan, negotiating the terms of the refinanced loan, and completing the refinancing. The refinancing and refinancing activities may be disclosed in the context of a data collection and monitoring service that collects a training set of interactions between entities for a series of loan refinancing activities. The refinancing and refinancing activities may be disclosed in the context of an artificial intelligence system trained using the collected training set of interactions, including both refinancing activities and results. The trained artificial intelligence may then be used to recommend refinancing activities, evaluate refinancing activities, predict the expected results of refinancing activities, etc. The refinancing and refinancing activities may be disclosed in the context of a smart contract system that can automate a subset of refinancing interactions and activities. In one example, the smart contract system may automatically adjust the interest rate of the loan based on information collected through at least one of the Internet of Things system, cloud sourcing system, set of social network analysis services, and set of data collection and monitoring services. The interest rate may be adjusted based on rules, thresholds, model parameters for determining or recommending the interest rate for loan refinancing, such as the interest rate available to the lender from the secondary lender, the borrower's risk factors (including predicted risks based on one or more prediction models using artificial intelligence), marketing factors (such as competing interest rates offered by other lenders), etc. The outcomes and events of the refinancing activities may be recorded in a distributed ledger.Based on the results of the refinancing activities, the smart contract of the refinancing loan can be automatically reconfigured to define the terms of the new loan, such as the principal amount of the debt, the remaining balance of the debt, the fixed interest rate, the variable interest rate, the payment amount, the payment schedule, the balloon payment schedule, etc. The terms of the new loan, such as the designation of collateral, the designation of the possibility of collateral substitution, the parties, the guarantee, the guarantor, the collateral, the personal guarantee, the lien, the duration, the covenant, the mortgage setting conditions, the default conditions, the consequences of default, etc., can be automatically reset.

[0206] A person skilled in the art, by benefiting from the disclosure of this specification and having the knowledge normally available for the intended system, can easily determine which aspects of this disclosure benefit from a particular application of the refinancing activities, how to select or combine the refinancing activities, how to implement a system, service, or circuit that automatically executes one or more (or all) aspects of the refinancing activities, etc. The appropriate training set of interactions for training artificial intelligence to take, recommend, or predict the results of a particular refinancing activity, the person skilled in the art, or the specific considerations for the embodiments of this disclosure. Specific examples of refinancing and refinancing activities are described herein for illustrative purposes, but any embodiments that benefit from the disclosure of this specification, and any considerations understood by a person skilled in the art having the benefits of the disclosure of this specification, are specifically contemplated within the scope of this disclosure.

[0207] The terms aggregation, aggregation activity, loan aggregation, debt consolidation, consolidation plan, and similar terms as used herein are to be broadly understood. Without limitation to other aspects or descriptions of the present disclosure, consolidation, consolidation activity(ies), loan consolidation, debt consolidation, consolidation plan relate to repaying multiple small loans using a single large loan and / or repaying at least a portion of one or more of a second set of loans using one or more of a first set of loans. In embodiments, the consolidation of loans may be secured (i.e., collateralized) or unsecured. Loan consolidation may be done to obtain a lower interest rate than one or more current loans, to reduce the total monthly loan payment amount, and / or to enable the debtor to comply with the consolidated loan or other debts of the debtor. Loans classified as consolidation candidates may be determined based on a model that processes attributes of entities involved in a series of loans, such as the identity of the parties, interest rate, payment balance, payment tempo, payment schedule, type of loan, type of collateral, financial situation of the parties, payment situation, collateral situation, value of the collateral, etc. Consolidation activities may include, among other things, identification of loans from a series of candidate loans, preparation of a consolidation offer, preparation of a consolidation plan, preparation of content to convey the consolidation offer, scheduling of the consolidation offer, transmission of the consolidation offer, negotiation of modifications to the consolidation offer, preparation of a consolidation contract, execution of the consolidation contract, modification of the collateral for a series of loans, processing of an application workflow for consolidation, management of inspections, management of appraisals, setting of interest rates, deferral of payment requirements, setting of payment schedules, and conclusion of a consolidation contract. In embodiments, various rules, thresholds, conditional procedures, workflows, model parameters, etc. may be created, configured (such as using one or more templates or libraries), modified, set, or otherwise processed to determine or recommend a consolidation action or plan for a lending transaction or set of loans based on one or more events, conditions, states, actions, etc. There may be systems, circuits, and / or services configured to do so.In an embodiment, the consolidation plan may be based on various factors such as the payment situation, the interest rate of the loan set, the prevailing interest rate in the platform market or external market, the situation of the borrower of the loan set, the situation of the collateral or assets, the risk factors of the borrower, lender, and one or more guarantors, market risk factors, etc. The linking and linking activities may be disclosed in the context of data collection and monitoring services that collect a training set of interactions between entities for a series of loan linking activities. The linking and linking activities may be disclosed in the context of an artificial intelligence system trained using the collected training set of interactions, including both the linking activities and the results associated with those activities. The trained artificial intelligence may then be used to recommend integration activities, evaluate integration activities, make predictions regarding the expected results of integration activities, etc., based on models that include the status of the debt, the status of the collateral or assets used to secure or back a series of loans, the status of the business or operations (e.g., receivables, debts, etc.), the status of the parties (net worth, wealth, debts, location, other status, etc.), the actions of the parties (actions indicating preferences, actions indicating debt preferences, etc.). Debt restructuring, loan restructuring, and related restructuring activities may be disclosed in the context of a smart contract system that can automate a subset of the restructuring interactions and activities. In an embodiment, the consolidation may include consolidation regarding the terms of the loan set, selection of appropriate loans, setting of payment terms for the linked loans, setting of a payoff plan for existing loans, communication to facilitate consolidation, etc.In an embodiment, the artificial intelligence of the smart contract may automatically recommend or set rules, thresholds, actions, parameters, etc. (optionally, by learning to do so based on a training set of results over time), resulting in a recommended integration plan that may specify a series of actions necessary to achieve the integration recommendation or desired result (such as within a range of acceptable results), and this plan may be automated and may include conditional execution of steps based on monitored conditions and / or conditions of the smart contract, and these steps may be created, configured, and / or explained by the integration plan, resulting in a recommended integration plan. The linked plan may be determined and executed based on at least one of market factors (such as competing interest rates offered by other lenders, value of collateral, etc.) and regulatory and / or compliance factors. The linked plan may be generated and / or executed for the creation of a new linked loan, secondary loans related to the linked loan, modification of existing loans related to the link, change of conditions of the linked loan, seizure situations (such as change from a secured loan interest rate to an unsecured loan interest rate), bankruptcy or insolvency situations, situations involving market changes (such as change in prevailing interest rates), etc.

[0208] Some of the activities related to loans, collateral, entities, etc. may be applicable to a variety of loans and may not be explicitly applicable to the consolidation activities. The classification of an activity as a consolidation activity can be based on the context of the loan in which the activity is being performed. However, one of ordinary skill in the art having knowledge of the knowledge typically available for the intended system and benefiting from the disclosure herein will be able to readily determine which aspects of the disclosure are benefited from a particular application of the consolidation activity, how to select or combine the consolidation activities, how to implement the selected services, circuits, and / or systems described herein to perform a particular loan consolidation operation, etc. For purposes of illustration, specific examples of consolidation and consolidation activities are described herein, but any embodiments that benefit from the disclosure herein and any considerations understood by one of ordinary skill in the art that benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0209] As used herein, terms such as loan factoring, factoring of loan transactions, factors, factoring of loan interactions, a set of factoring assets or assets used in factoring, and similar terms are to be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, factoring may be applied to factoring of assets whose realizable value of items such as invoices, inventory, accounts receivable, etc. lies in the future. For example, accounts receivable increase in value when payment has been completed and the risk of default is low. Inventory assets and work in progress (WIP) may have a higher value as final products rather than as parts. The term accounts receivable should be understood to encompass these terms and is not limiting. Factoring includes selling accounts receivable at a discount for their current value (often cash). Factoring also includes using accounts receivable as collateral for short-term loans. In either case, the value of accounts receivable or invoices may be discounted for multiple reasons such as the future value of money, the term of the accounts receivable (e.g., net payment in 30 days vs. net payment in 1 year). The terms of accounts receivable for payments within 30 days and within 90 days (e.g., net payment in 30 days vs. net payment in 90 days), the degree of risk of default of the accounts receivable, the status of the claim, the status of work in progress, the status of inventory, the status of delivery / shipment, the financial status of the party owing the accounts receivable, the status of shipment / claim, the status of payment, etc. Discounting can be done for multiple reasons. Payment status, borrower status, inventory status, borrower, lender, risk factors of one or more guarantors, market risk factors, status of debt (whether there are other liens on accounts receivable or payment debts of inventory, status of collateral assets (e.g., status of inventory assets (e.g., whether inventory is up-to-date or not, whether invoices are overdue), business and operating status, status of trading parties (net assets, assets, liabilities, location, etc.), actions of trading parties (actions indicating preferences, actions indicating negotiation styles, etc.), current interest rates, current regulatory and compliance issues related to inventory assets and accounts receivable (e.g., whether inventory assets are being factored or not), market risk factors.When factoring inventory, it includes a lot of information such as whether the intended product has received appropriate approval, legal measures against the borrower, and the prediction of risks based on one or more prediction models using artificial intelligence. Factoring refers to an individual, company, organization, or group that agrees to provide value for the acquisition by selling invoices or for a loan secured by invoices. Factoring includes the identification of candidates (lenders and borrowers) for factoring, the factoring plan specifying the proposed claims (all, part, only those meeting certain conditions) and the proposed discount rate, the communication of the plan to the candidates, the offer and acceptance of the offer, the confirmation of the quality of the claims, and the conditions regarding the handling of the claims during the loan period. Although specific examples of factoring and factoring activities are described herein for illustrative purposes, any embodiments that benefit from the disclosure herein and any considerations understood by those skilled in the art who benefit from the disclosure herein are specifically contemplated within the scope of the present disclosure.

[0210] The terms mortgage rights, mortgage mediation, mortgage guarantees, mortgage loan activities, and / or activities related to mortgage rights as used in this specification should be understood broadly. Without being limited to other aspects or descriptions of this disclosure, a mortgage right is an exchange in which a borrower provides a lender with a valuable item, typically the ownership of real estate or a lien on the ownership, as collateral in exchange for money or another valuable item, and typically repays it with interest. This exchange includes as conditions that the ownership returns to the borrower upon repayment of the loan and / or the lien on the real estate is removed. Mortgage mediation may include identification of potential real estate, lenders, and other loan parties, and adjustment and negotiation of mortgage conditions. Certain components or activities may not be considered individually related to a residential loan, but are considered related to a residential loan when used in connection with, acting on, or related to the entity or parties of a residential loan. For example, brokering may be applied to the provision of various loans, including unsecured loans and outright sales of real estate. Residential loan activities and interactions of residential loans include residential loan marketing activities, identification of potential borrowers, identification of real estate subject to mortgage, identification of mortgaged real estate, qualification of borrowers, investigation and / or confirmation of rights to real estate subject to mortgage, appraisal of real estate subject to mortgage, property inspection, or real estate appraisal, income verification, demographic analysis of borrowers, identification of capital providers, determination of available interest rates, determination of available payment terms, analysis of existing residential loans, comparative analysis of existing residential loan conditions and new residential loan conditions, completion of the application workflow (e.g., completion of the application workflow (e.g., initiate the next step as needed to progress the application), extraction of the application area, creation of a residential loan contract, completion of the schedule of the residential loan contract, negotiation of residential loan conditions with the capital provider, negotiation of residential loan conditions with the borrower, transfer of ownership, grant of a lien on the residential loan property, conclusion of the residential loan contract, etc. Similar terms used herein should be understood broadly.Although this specification describes specific examples of mortgage loans and mortgage loan brokerage for purposes of illustration, any embodiments that benefit from the disclosure of this specification, and any considerations understood by those skilled in the art that benefit from the disclosure of this specification, are specifically contemplated within the scope of this disclosure.

[0211] The terms debt management, debt transaction, debt act, debt condition, debt syndication, debt consolidation, and / or debt portfolio as used in this specification are to be understood broadly. Without being limited to other aspects or descriptions of this disclosure, debt includes anything of monetary value owed to another. A loan typically results in the borrower having a liability (e.g., money that must be repaid according to the terms of the loan, which may include interest). Debt consolidation includes using a new single loan to pay off multiple loans (or, as understood by those skilled in the art as described herein, there are various debt structuring configurations). Often, the new loan may have better terms or a lower interest rate. A debt portfolio includes multiple debt pieces or groups with different characteristics including term, risk, etc. Debt portfolio management may include decisions regarding the quantity and quality of the debt held, and decisions regarding the best way to balance various debts to achieve a desired risk / return: investment policy, determination of return relative to the risk of individual debts or groups of debts. Debt may be syndicated where multiple lenders provide funds to a borrower for one loan (or multiple loans). A debt portfolio may be sold to a third party (e.g., at a discounted price). Debt compliance includes various measures taken to ensure repayment of the debt. Demonstration of compliance may include documentation of actions taken to repay the debt.

[0212] Transactions related to debt (debt transactions) and acts related to debt (debt acts) may include solicitation of debt transactions, acceptance of debt transactions, interest rate setting, deferral of payment requirements, interest rate modification, confirmation of ownership, management of inspections, recording of ownership changes, evaluation of asset values, loan calls, conclusion of transactions, setting of transaction conditions, provision of notices requiring provision, attachment of a series of assets, modification of conditions, setting of entity ratings, debt syndication, and / or debt consolidation. Debt terms may include debt balance, principal amount of debt, fixed interest rate, variable interest rate, payment amount, payment schedule, balloon payment schedule, identification of assets securing bonds, identification of asset substitutability, parties, issuer, purchaser, guarantee, guarantor, collateral, personal guarantee, lien, duration, covenants, attachment conditions, default conditions, consequences of default, etc. For purposes of illustration, specific examples of debt management and debt management activities are described herein, but any embodiments benefiting from the disclosure herein, and any considerations understood by those of ordinary skill in the art benefiting from the disclosure herein, are specifically contemplated within the scope of this disclosure.

[0213] The terms conditions, condition classifications, classification models, condition management, and the like, as used in this specification, are to be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, conditions, condition classifications, classification models, condition management include classifying or determining conditions such as terms or conditions for transactions of assets, issuers, borrowers, loans, debts, bonds, regulatory situations, bonds, loans, or debts specified and monitored in contracts. Based on the classified state of an asset, state management can include actions to maintain or improve the state of the asset, or use of the asset as collateral. Based on the classified state such as the regulatory situation of an issuer, borrower, or party, condition management may include actions to change the terms of a loan or bond. Condition classification may include various rules, thresholds, condition procedures, workflows, model parameters, etc. for classifying conditions such as conditions of assets, issuers, borrowers, loans, bonds, regulatory situations, bonds, loans, or bond transactions based on data from Internet of Things devices, data from a set of environmental condition sensors, data from a set of social network analysis services, and a set of algorithms for querying network domains, social media data, cloud source data, etc. The classification of conditions may also include grouping or labeling entities, or clustering entities, as being similarly positioned with respect to some aspects of the classified conditions (e.g., risk, quality, ROI, likelihood of recovery, likelihood of default, or some other aspect of the associated debt).

[0214] Various classification models are disclosed where the classification and classification model may be associated with a geographical location related to a guarantee, issuer, borrower, fund distribution, or other geographical location. It is disclosed that artificial intelligence is used to improve the classification model (e.g., improving the model by using artificial intelligence data for improvement). Thus, artificial intelligence is considered as part of the classification model in some examples, and vice versa. Classification and classification models are disclosed where social media data, cloud source data, or IoT data are used as inputs to refine the model or as inputs to the classification model. Examples of IoT data can include images, sensor data, location data, etc. Examples of social media data or cloud source data may include the actions of loan parties, the financial situation of the parties, the compliance of the parties with the terms and conditions of loans and bonds, etc. Loan parties may include bond issuers, related parties, lenders, borrowers, and third parties with an interest in the debt. Condition management may be discussed in relation to smart contract services including condition classification, data collection and monitoring, and bond, loan, and debt transaction management. Data collection and monitoring services may also be discussed in relation to the classification and classification models relevant when classifying bond issuers, assets related to bonds or collateral assets, collateral assets securing the bonds, bond parties, and sets thereof. In some embodiments, the classification model can be included when discussing the type of bond. Certain steps, factors, or improvements may be considered part of the classification model. In various embodiments, the classification model may be varied in embodiments associated with a particular jurisdiction or both in the same embodiment. Different classification models may use different data sets (e.g., based on issuer, borrower, collateral asset, type of bond, type of loan, etc.), or multiple classification models may be used in one classification. For example, for certain types of bonds such as municipal bonds, a classification model based on bond data of municipalities with similar sizes and economic prosperity is possible, while in another classification model, data from IoT sensors related to collateral assets can be emphasized.Accordingly, different classification models provide advantages or risks to other classification models depending on the embodiment and the details of the bond, loan, or liability transaction. A classification model includes an approach or concept for classification. Conditions classified for a bond, loan, or debt transaction include the principal amount of the debt, the outstanding balance of the debt, fixed interest rate, variable interest rate, payment amount, payment schedule, balloon payment schedule, specifications of the assets securing the bond, loan, or debt transaction, specifications of the asset substitutability, parties, issuer, purchaser, guarantee, guarantor, collateral, personal guarantee, lien, duration, covenant, mortgage setting conditions, default conditions, and / or consequences of default. The conditions to be classified may include the type of bond issuer such as local governments, corporations, contractors, government agencies, non-government agencies, non-profit organizations, etc. An entity may include a set of issuers, a set of bonds, a set of parties, and / or a set of assets. The conditions to be classified may include conditions of an entity such as net assets, wealth, liabilities, location, etc., actions of parties (actions indicating preferences, actions indicating a preference for liabilities, etc.). The conditions to be classified may include types of assets and collateral such as local government assets, vehicles, ships, airplanes, buildings, homes, real estate properties, undeveloped land, farms, crops, local government facilities, warehouses, inventory sets, commodities, securities, currencies, valuable tokens, tickets, etc. Cryptocurrencies, consumables, foodstuffs, beverages, precious metals, jewelry, gemstones, intellectual property rights, contractual rights, antiques, spare parts, furniture, equipment, tools, machinery, personal belongings, etc. The conditions to be classified may include the type of bond. Types of bonds include local bonds, government bonds, treasury bonds, asset-backed bonds, and corporate bonds. The classified states include default state, seizure state, state indicating contract violation, financial risk state, action risk state, policy risk state, financial soundness state, physical defect state, physical soundness state, entity risk state, entity soundness state. The classified conditions may include that the environment includes an environment selected from among local government environment, corporate environment, securities trading environment, real estate environment, commercial facilities, warehouse facilities, transportation environment, manufacturing environment, storage environment, home, and vehicle.Actions based on states such as assets, issuers, borrowers, loans, debts, bonds, regulatory situations, etc. include processing such as management, reporting, syndication, and consolidation of a series of bonds (municipal bonds, corporate bonds, performance bonds, etc.), and a series of loans (with or without subsidies. Information such as guarantees, guarantors, collateral securing the guarantee, reliability, quality, status, health status, financial status, physical status, etc. can be monitored, classified, predicted, and handled in other ways. Bond trading activities according to the state of the bonds include providing debt transactions, accepting debt transactions, setting interest rates, deferring payment requirements, modifying interest rates, verifying ownership, managing inspections, recording changes in ownership, evaluating the value of assets, calling loans, concluding transactions, setting transaction conditions, providing notices that require offers, seizing a series of assets, modifying conditions, setting ratings for entities, syndicating debts, and / or integrating debts.

[0215] A person skilled in the art, having received the benefits of the disclosure herein and having knowledge commonly available for the assumed system, can easily determine which aspects of the disclosure are beneficial for a particular application of the classification model, how to select or combine classification models to reach the conditions, and / or how to calculate the value of the collateral when the required data is provided. Particular considerations in selecting appropriate conditions by a person skilled in the art, or in embodiments of the disclosure, include the legality of the conditions considering the jurisdiction of the transaction, data available for a given collateral, the type of transaction expected (loan, bond, or debt), the type of specific collateral, the ratio of the loan to the value, the ratio of the collateral to the loan, the total transaction / loan amount, the credit scores of the borrower and lender, and other considerations, but are not limited thereto. Specific examples of conditions, condition classifications, classification models, and condition management are described herein for illustrative purposes, but any embodiment receiving the benefits of the disclosure herein and any considerations understood by a person skilled in the art receiving the benefits of the disclosure herein are specifically contemplated within the scope of the disclosure.

[0216] The terms translated as classify, classifying, classification, categorization, categorizing, categorize and similar terms as used herein should be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, classifying a state or item may involve grouping or categorizing the state or item into a group or category based on some aspect, attribute, or characteristic of the state or item that is common or similar among all items placed in that classification, even though classifications or categories based on other aspects or conditions diverge at that point. Classification may involve the recognition of one or more parameters, features, characteristics, or phenomena related to the state or parameters of items, entities, persons, processes, items, financial structures, etc. States classified by a state classification system may include a default state, a seized state, a state indicating a breach of covenant, a financial risk state, a behavioral risk state, a contract performance state, a policy risk state, a financial soundness state, a physical defect state, a physical soundness state, an entity risk state, and / or an entity soundness state. A classification model may automatically classify or categorize items, entities, processes, items, financial structures, etc. based on data received from various sources. The classification model may classify items based on a single attribute or a combination of multiple attributes, and may also utilize data and models related to the items being classified. The classification model can classify individual items, entities, financial structures, or groups thereof. Bonds may be classified based on the type of bond (municipal bond, corporate bond, performance bond, etc.), the yield, the bond rating (a third-party indicator of the quality of the bond related to the financial strength of the bond issuer and / or the ability to pay the principal and interest of the bond), etc. Lenders or bond issuers may be classified based on the type of lender or issuer, permitted attributes (e.g., income, assets, location (domestic or overseas), various risk factors, the status of the issuer, etc.).Borrowers may be classified based on permitted attributes (e.g., income, assets, total assets, location, credit history), risk factors, current status (e.g., employed, student), actions of the parties (such as actions indicating propensities, reliability, etc.). A conditional classification system may classify students taking loans based on their progress towards degree attainment, grades or rankings in their classes, status at their school (matriculated, probation, etc.), participation in non-profit activities, deferment status, and participation in community service activities. Conditions classified by the conditional classification system include the status of the loan collateral set and the status of entities related to loan guarantees. Conditions classified by the conditional classification system may include medical conditions of borrowers, guarantors, subsidizers, etc. Conditions classified by the conditional classification system may include compliance with at least one of the laws, regulations, and policies related to loan transactions and lending institutions. Conditions classified by the conditional classification system include conditions of bond issuers, bond conditions, ratings of loan-related enterprises, etc. States classified by a state classification system may include identification of machines, parts, and operating modes. States classified by a state classification system may include a state or context (machine state, process, workflow, marketplace, storage system, network, data collector, etc.). A state classification system may classify a process that includes a state or context (e.g., a data storage process, a network coding process, a network selection process, a data marketplace process, a power generation process, a manufacturing process, a refining process, a drilling process, and / or other processes described herein). A conditional classification system may classify a set of loan refinancing actions based on the predicted results of the set of loan refinancing actions. A conditional classification system may classify a set of loans as integration candidates based on attributes such as the identity of the parties, interest rate, payment balance, payment terms, payment schedule, type of loan, type of collateral, financial status of the parties, payment status, status of collateral, value of collateral, etc.The conditional classification system may classify entities related to sets such as factoring loans, bond issuance activities, and home loans. The conditional classification system may classify a series of entities based on the results predicted from various loan management activities. The conditional classification system may classify the conditions of a series of issuers based on information from IoT data collection and monitoring services, a set of parameters related to the issuer, a set of social network monitoring and analysis services, etc. The conditional classification system may classify sets such as loan recovery actions, loan consolidation actions, loan negotiation actions, loan refinancing actions, etc., based on the sets of the predicted results of those activities and entities.

[0217] The terms subsidized loan, loan with subsidy (and similar terms) as used herein are to be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, a subsidized loan is a loan of money or valuable items where the payment of interest on the value of the loan is deferred, postponed, or delayed, regardless of occurrence, while the borrower is in school, unemployed, ill, etc. In an embodiment, a loan may be subsidized when the payment of interest on a part or subset of the loan is borne or guaranteed by a person other than the borrower. Examples of subsidized loans include local government subsidized loans, government subsidized loans, student loans, asset-secured subsidized loans, and corporate subsidized loans. Examples of subsidized student loans include student loans where the government subsidizes and the accrual of interest is waived or does not occur based on the progress of the student towards obtaining a degree, the student's participation in non-profit activities, the student's deferral status, and the student's participation in public welfare activities. Examples of government-subsidized home loans can include government subsidies that allow the borrower to waive closing costs, payments on the first home loan, etc. Conditions for such subsidized loans can include the location of the property (rural or urban), the borrower's income, the borrower's military status, whether the purchased home can meet health and safety standards, whether there are restrictions on the profits obtained from the sale of the home, etc. The specific usage of the word loan may apply to normal loans rather than to subsidized loans. A person skilled in the art, benefiting from the disclosure herein and having knowledge of the intended systems that are normally available to that person, can easily determine which aspects of the present disclosure are benefited by considering subsidized loans (for example, as follows. Determination of the value of the loan, negotiations related to the loan, conditions related to the loan, etc.). In some cases, the borrower may be exempted from some of the loan obligations common to non-subsidized loans, and the subsidy may include waiver, deferral, postponement of the loan interest, or payment of interest by a third party.The subsidy may include payment of closing costs, such as points, earlies, etc., by an individual or entity other than the borrower, and / or a method of enhancing title verification or receiving benefits by combining the processes and systems of the present disclosure.

[0218] The term "subsidized loan management" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, subsidized loan management can include multiple activities and solutions for managing or addressing one or more events related to subsidized loans, such events may include requests for subsidized loans, offers of subsidized loans, acceptance of subsidized loans. Providing information on the acceptance of a subsidized loan, providing a credit report of the borrower seeking a subsidized loan, deferring payments required as part of the subsidy, setting the interest rate of a subsidized loan (where a lower interest rate may be part of the subsidy), deferring payments required as part of the subsidy. Identifying collateral for the loan, verifying ownership for collateral or guarantee for the loan, recording changes in ownership, assessing the value of collateral or guarantee for the loan, inspecting property related to the loan, identifying changes in the status of entities related to the loan, identifying changes in the value of entities related to the loan. Changes in the borrower's employment status, changes in the lender's financial rating, changes in the financial value of items provided as collateral, providing insurance for the loan, providing evidence of insurance for property related to the loan, providing evidence of loan eligibility, identifying collateral for the loan. Accepting the loan, making loan payments, loan default, loan call, loan conclusion, setting loan conditions, seizure of loan target property, changing loan conditions, setting loan conditions (such as principal amount of debt, remaining debt balance, fixed interest rate, variable interest rate, etc.). Setting fixed interest rate, variable interest rate, payment amount, payment schedule, balloon payment schedule, designation of collateral, designation of collateral substitutability, parties, guarantee, guarantor, collateral, personal guarantee, lien, duration, covenant, mortgage setting conditions, debt default conditions, consequences of debt default, etc.). Consequences of debt default), or managing loan-related activities (including but not limited to discovering parties interested in participating in loan transactions, processing loan applications, accepting loans, forming legal contracts for loans, monitoring loan performance, making loan payments, restructuring or modifying loans, settling loans, etc.).Reconstruction or modification of loans, loan settlement, monitoring of loan collateral, formation of a syndicate for a loan, attachment of a loan, loan recovery, integration of a series of loans, analysis of loan performance, handling of loan defaults, transfer of ownership of assets or collateral, and conclusion of loan transactions, etc. may be mentioned. In an embodiment, a system for processing subsidized loans may include classifying parameters of a set of subsidized loans based on data related to those parameters obtained from Internet of Things data collection and monitoring services. Further, classifying a set of parameters of a set of subsidized loans may be based on data obtained from one or more configurable data collection and monitoring services that utilize social network analysis services, cloud sourcing services, etc. to obtain parameter data (for example, judgment on whether a person or entity is eligible for a subsidized loan, judgment on the social value of providing a subsidized loan or removing a subsidy from a loan, judgment on the legitimacy of the entity providing the subsidy, determination of appropriate subsidy conditions based on the characteristics of the purchaser and / or the person providing the subsidy, etc.).

[0219] The terms foreclose, foreclosure, foreclose or foreclosure condition, default foreclosure collateral, default collateral, (and similar terms) as used in this specification are to be broadly understood. Without limitation to other aspects and descriptions of the present disclosure, foreclosure conditions, defaults, etc. represent the borrower's failure to meet the terms of the loan. Without limitation to other aspects and descriptions of the present disclosure, foreclose and foreclosure include the process by which a lender attempts to recover the outstanding loan amount from a borrower in foreclosure or default, or the process of depriving the borrower of the right to redeem the mortgage held as collateral for the loan in lieu of compensation. Failure to meet the terms of the loan may include failure to make a specified payment, failure to adhere to a payment schedule, failure to make a balloon payment, failure to properly secure collateral, failure to maintain collateral in a specified condition (e.g., good repair), obtaining a second loan, etc. Foreclosure includes notifying the borrower, the general public, and the jurisdiction of the forced sale of the collateral property, such as at a foreclosure auction. With foreclosure, the collateral property may be listed on an auction site (such as eBay®) or an auction site suitable for a particular type of property. The lender can set a minimum bid price for the collateral property, which can cover the outstanding loan amount, loan interest, fees associated with foreclosure, etc. Attempts to recover the outstanding loan amount may include transferring the certificate of the collateral property instead of foreclosure (e.g., in the case of a mortgage loan where the borrower holds the certificate of the property serving as collateral for a home loan). Foreclosure may include taking possession of or foreclosing on the collateral property (such as a vehicle, a sports vehicle like a boat, ATV, snowmobile, jewelry, etc.). Foreclosure may also include securing items of collateral related to the loan (e.g., by locking connected devices such as smart locks, smart containers that include or secure the collateral). Foreclosure may also include arranging for the shipment of the collateral by a transporter, a freight forwarder, etc.Attachment may include arranging for the transportation of collateral items by drones, robots, etc. to transport the collateral. In an embodiment, a loan can enable a shift in the right of priority to substitute collateral from the collateral item initially used to secure the loan or obtain the loan, where the substitute collateral is of greater value (to the lender) or the borrower has a greater stake than the initial collateral. As a result of the substitute collateral, if the loan is attached, the substitute collateral may be subject to forced sale or attachment. One usage of the term "default" may not be like attachment and may apply to the regular or non - performance state of a good. A person of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that are normally available to that person, can readily determine which aspects of the disclosure can benefit from attachment and / or how to combine the processes and systems of the disclosure to enhance or benefit from attachment. There are certain considerations for a person of ordinary skill in the art when determining whether terms such as attachment, attachment conditions, default, etc. refer to the borrower's failure to meet the terms of the loan and the related attempts by the lender to recover the loan balance or acquire ownership of the collateral.

[0220] As used herein, terms such as tile verification, title verification, title validation, and the like are to be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, ownership verification and ownership confirmation include any efforts to verify or confirm the ownership or interest of an individual or group in possessions such as vehicles, ships, airplanes, buildings, houses, real estate properties, undeveloped land, farms, crops, municipal facilities, warehouses, a series of inventories, etc. Goods, securities, currencies, valuable tokens, tickets, cryptocurrencies, consumables, foodstuffs, beverages, precious metals, gemstones, intellectual property rights, contractual rights, antiques, spare parts, furniture, equipment, tools, machinery, personal belongings, etc. To confirm ownership, there are references to sales contracts, government certificates of transfer of ownership, legal wills transferring ownership, certificates of cancellation of liens on possessions, certificates of transfer of intellectual property rights to potential borrowers in the appropriate jurisdiction, etc. In the case of real estate properties, verification may include confirmation of certificates and records in the courts of the country, state, county, or district where the building, house, real estate property, undeveloped land, farm, crops, municipal facility, vehicle, ship, airplane, warehouse, etc. is located or registered. The specific use of the term verification does not apply to title verification or title validation, but may apply to confirmation that the process is operating correctly, that an individual is correctly identified using biometric data, that intellectual property rights are valid, that the data is correctly meaningful, etc. A person skilled in the art, with the benefit of the disclosure herein and knowledge of the assumed systems that the person normally has access to, can readily determine which aspects of the present disclosure benefit from title verification and / or how to combine the processes and systems of the present disclosure to enhance or benefit from title verification. Specific considerations for a person skilled in the art in determining whether the term verification refers to title verification are specifically intended within the scope of the present disclosure.

[0221] Without being limited to other aspects or descriptions of the present disclosure, verification includes any verification system, including verification of titles for security or loans, verification of collateral conditions for security or loans, verification of guarantee conditions for loans, and the like. For example, the verification service can provide the lender with a mechanism to more reliably provide loans, such as verifying components of loan or security information (e.g., income, employment, title, loan conditions, collateral conditions, and asset conditions). In a non-limiting example, the verification service circuit may be configured to verify a plurality of loan information components for a financial entity configured to determine loan conditions for assets. Certain components may not be considered a verification system individually, but may be considered verification in an aggregated system. For example, Internet of Things components may not be considered verification components per se, but Internet of Things components used for collecting and monitoring asset data may be considered verification components when applied to verifying the reliability parameters of personal guarantees against load when the Internet of Things components are associated with collateral assets. In certain embodiments, other similarly-appearing systems may be distinguished when determining whether such a system is for verification. For example, a blockchain-based ledger may be used in one example to verify identities and in another example to maintain confidential information. Accordingly, the advantages of the present disclosure can be applied to a wide variety of systems, any of which may be considered a verification system herein, while in certain embodiments, a given system may not be considered a verification system herein. One of ordinary skill in the art, by having the benefit of the disclosure herein and knowledge of the intended systems that the person normally has access to, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system.When a person skilled in the art determines whether the intended system is an effective system and / or whether aspects of the present disclosure can benefit or enhance the intended system, certain considerations include, but are not limited to, the following. A loan platform having a social network monitoring system for verifying the reliability of guarantees for loans, a loan platform having an Internet of Things data collection and monitoring system for verifying the reliability of guarantees for loans, a loan platform having a crowdsourcing and automatic classification system for verifying the conditions of bond issuers, a crowdsourcing system for verifying the quality, title, or other conditions of collateral for loans, a biometric identification verification application such as using DNA or fingerprints. An IoT device used to collectively verify the location and identity of fixed assets tagged with virtual asset tags, a verification system using a voting or consensus protocol, an artificial intelligence system trained to recognize and verify events, verifying information such as right records, video footage, photographs, or eyewitness testimonies, verifying the occurrence of compliance conditions, verifying the occurrence of default conditions, deterring inappropriate behavior or false statements, reducing uncertainty, or reducing information asymmetry, and other verification expressions related to actions.

[0222] The term "underwriting" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, underwriting includes any underwriting, such as matters regarding the underwriter, providing underwriting information for a loan, underwriting a debt transaction, underwriting a bond transaction, underwriting a subsidized loan transaction, underwriting a securities transaction, etc. Underwriting services are provided by financial institutions such as banks, insurance companies, investment companies, etc., and the financial institution will guarantee payment when loss conditions (such as damages and financial losses) are determined and assume the financial risk for the liability arising from the guarantee. For example, a bank may conduct a credit analysis that leads to a decision on whether to grant a loan through a mechanism such as analyzing individual information components related to individual borrowers who request consumer loans (such as publicly disclosed financial statement information such as employment history, salary, and the borrower's credit history), or analyzing business financial information components from enterprises that request commercial loans (such as tangible net assets, the ratio of liabilities to net assets (leverage), available liquidity (current ratio)), etc., and may underwrite the loan. In a non-limiting example, an underwriting service circuit may be configured to underwrite a financial transaction including a plurality of financial information components with respect to a financial institution configured to determine the financial status of an asset. In certain embodiments, an underwriting component may be considered underwriting for one purpose but not for another. For example, an artificial intelligence system that collects and analyzes transaction data may be used in conjunction with a smart contract platform to monitor loan transactions, but may be used alternately to collect and analyze underwriting data, such as using a model trained by a human professional underwriter. Therefore, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system may be considered underwriting herein, while in certain embodiments, a given system may not be considered underwriting herein.One of ordinary skill in the art, with the benefit of the disclosure herein and knowledge of the intended systems that the person normally has access to, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Particular considerations in determining whether the intended system is underwriting and / or whether aspects of the present disclosure can benefit or enhance the intended system include, but are not limited to, the following. Underwriting data such as data collection and monitoring services, blockchain services, artificial intelligence services, a set of data-integrated microservices such as smart contract services, a loan platform having a loan acceptance system, acceptance processes, operations, and services, data related to the identities of prospective and actual parties involved in insurance and other transactions, insurance actuarial data, data related to the probability of occurrence and / or degree of risk associated with activities, data related to observed activities, and other data used to accept or estimate risk. Underwriting applications such as underwriting insurance, loans, and other transactions (applications for detecting, characterizing, and predicting the likelihood and scope of risk, including but not limited to the underwriting and inspection flows for companies providing loan solutions, analytical solutions, and asset management solutions). A blockchain and smart contract platform for aggregating identity and behavior information for insurance contract, loan, guarantee, or surety underwriting, insurance underwriting, for example, one with an optional distributed ledger for recording a series of events, transactions, activities, identities, facts, and other information related to the underwriting process.Various types of loans, and cloud sourcing platforms for guarantee acceptance, etc.; A loan acceptance system equipped with a set of data integration microservices including data collection and monitoring services, blockchain services, artificial intelligence services, and smart contract services for loan entity and transaction acceptance; An acceptance solution that creates, configures, modifies, sets, or otherwise processes various rules, thresholds, conditional procedures, workflows, or model parameters. Acceptance actions and plans for managing a given type of loan based on one or more events, conditions, states, actions, secondary loans and transactions securing the loan, recoveries, integrations, seizures, bankruptcies, insolvency situations, modifications to existing loans, situations involving market changes, seizure activities, etc. An adaptive intelligent system including a training set of acceptance activities by experts and / or an artificial intelligence model trained on the results of acceptance activities for generating a series of predictions, classifications, control instructions, plans, models; A loan acceptance system equipped with a set of data integration type microservices including data collection and monitoring services, blockchain services, artificial intelligence services, smart contract services for lender business entities and transaction acceptance; etc.

[0223] The term "insurance" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, taking out insurance can include providing insurance for a loan, providing evidence of insurance for assets related to a loan, the first entity assuming risks or liabilities for another entity, and the like, including any insurance. Taking out insurance, or insurance, may be a mechanism by which the insurance holder is provided protection from financial losses, such as in the form of risk management against the risk of accidental or uncertain losses. An insurance institution may be related to, for example, assets, asset transactions, asset loans, securities, etc., such as providing insurance, determining the need for insurance, determining evidence of insurance, etc. An entity providing insurance may sometimes be referred to as an insurance company, insurance company, insurance carrier, underwriter, etc. For example, a mechanism for taking out insurance may provide a financial institution with a mechanism for determining evidence of insurance for assets related to a loan. In a non-limiting example, an insurance service circuit may be configured to determine evidence conditions for insurance on an asset based on a plurality of insurance information components with respect to a financial entity configured to determine loan conditions for the asset. In certain embodiments, a component may be considered insurance for one purpose but not for another. For example, blockchain and smart contract platforms may be used to manage aspects of loan transactions, such as for identity and confidentiality, but alternately may be used to aggregate identity and behavior information for underwriting insurance. Accordingly, the advantages of the present disclosure can be applied to a wide variety of systems, any of which may be considered insurance herein, while in certain embodiments, a given system may not be considered insurance herein. One of ordinary skill in the art, by having the benefit of the disclosure herein and knowledge of the intended systems that the person normally has access to, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system.Certain considerations when a person skilled in the art determines whether the intended system is insured and / or whether aspects of the present disclosure can bring benefits to or enhance the intended system include, but are not limited to, the following. Insurance facilities such as branch offices, offices, storage facilities, data centers, underwriting operations, etc. Insurance claims such as business interruption insurance, product liability insurance, insurance for goods, facilities, and equipment, flood insurance, insurance for contract-related risks, etc., as well as claim data related to compensation claims such as product liability, general liability, workers' compensation, injuries, etc., and claim data related to supply contract performance claims, product delivery requirements, contract claims, damage compensation claims, point and reward exchange claims, access right claims, warranty claims, indemnification claims, energy production requirements, delivery requirements, timing requirements, milestones, key performance indicators, etc. related to contracts. Insurance-related loans. Insurance services, insurance intermediary services, life insurance services, health insurance services, pension insurance services, property insurance services, financial and insurance services, reinsurance services, blockchain and smart contract platforms for aggregating identity and behavior information for insurance underwriting. Information about the identity of insurance applicants, the identity of parties that may provide insurance, information about risks that may be insured (property, life, travel, infringement, health, family, commercial liability, product liability, automobile, fire, flood, casualty, pension, unemployment, etc., of all kinds, without limitation. Distributed ledgers can be used to facilitate the provision and underwriting of microinsurance. For example, insurance for defined risks related to defined activities with a shorter period than a typical insurance contract, providing insurance for loans, providing evidence of insurance for property related to loans, etc.

[0224] The term "aggregation" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, aggregation or aggregating includes any aggregation that involves aggregating items together, such as aggregating or linking similar items (e.g., as follows). For example, providing collateral for a series of loans, aggregating collateral items for a series of loans in real time based on the similarity of the status of a series of items, collecting data together (e.g., for storage, for communication, for analysis, as training data for a model, etc.), summarizing the aggregated items or data into a simpler description, or other ways of creating a whole formed by combining several (e.g., heterogeneous) elements. Further, an aggregator may be any system or platform for aggregation as described. Certain components may not be considered aggregations individually, but may be considered aggregations in an aggregated system. For example, a loan collection may not be considered an aggregation of loans by itself, but may be an aggregation when collected in such a way. In a non-limiting example, an aggregation circuit may be configured to provide a lender with a mechanism for aggregating loans together from multiple loans based on loan attributes, parameters, terms or conditions, financial institutions, etc. In certain embodiments, something may be considered an aggregation for one purpose but not for another. For example, an aggregation of asset collateral conditions may be collected for the purpose of aggregating loans together in one example and for the purpose of determining default actions in another example. Further, in certain embodiments, other similarly looking systems may be distinguished in determining whether such a system is an aggregator and / or what type of aggregator it is. For example, both a first aggregator and a second aggregator may aggregate financial institution data, where the first aggregator aggregates for the purpose of building a training set for an analysis model circuit and the second aggregator aggregates financial institution data for storage in a blockchain-based distributed ledger.Accordingly, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system can be considered an aggregation of this specification. On the other hand, in certain embodiments, a given system cannot be considered an aggregation of this specification. A person skilled in the art, by having the benefit of the disclosure of this specification and knowledge of the intended system that the person normally has access to, can easily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Particular considerations when a person skilled in the art determines whether the intended system is an aggregation and / or whether aspects of the present disclosure will benefit or can enhance the intended system include, but are not limited to, forward market demand aggregation (e.g., blockchain and smart contract platforms for forward market demand aggregation, interests expressed or committed at a demand aggregation interface, blockchains used to aggregate future forward market demands for various products and services, processing a set of potential configurations with different parameters for subsets of mutually matching configurations, and subsets of configurations used to aggregate committed future demands for an offering that satisfies a sufficiently large subset at a profitable price, etc.). Aggregate data (including trend information) related to the age, qualifications, experience (including by process type) of workers, and data related to the processes in which those workers are involved; the demand for accommodation facilities that is conveniently satisfied by automatically recognizing conditions that meet pre-set commitments aggregated and represented on a blockchain (e.g., a distributed ledger); the aggregation and satisfaction of transportation offerings (e.g., with a wide range of contingencies defined in advance); the aggregation of goods and services on a blockchain (e.g., a distributed ledger used in demand planning); with respect to a demand aggregation interface (e.g., presented to one or more consumers); the aggregation of multiple submissions; the aggregation of identity and behavior information (e.g.Insurance underwriting), aggregation and accumulation of multiple parties, aggregation of data for a set of guarantees, aggregated value of guarantees or assets (e.g., based on real-time condition monitoring, collection and integration of real-time market data, etc.), aggregated tranches of loans, guarantees for other similar guarantees and smart contracts, etc.

[0225] The term "linking" (and similar terms) as used herein should be understood broadly. Without being limited to other aspects or descriptions of the present disclosure, linking includes any link as a relationship between two things or situations (e.g., one thing affects another thing). For example, to provide collateral for a series of loans, a subset of similar items such as collateral is linked. A particular component may not be considered to be linked individually, but may be considered in the process of linking in an aggregated system. For example, a smart contract circuit may be configured to operate in cooperation with a blockchain circuit as part of a loan processing platform. However, if the smart contract circuit processes a contract without storing information via the blockchain circuit, the two circuits may be linked by the smart contract circuit linking the information of a financial institution via a distributed ledger on the blockchain circuit. In certain embodiments, a link may be considered a link for one purpose but not for another purpose. For example, a link to goods and services for a user and a wireless link between access points are different forms of links. The link to goods and services for a user links things to be considered together, while an RF link is a communication link between transceivers. Further, in certain embodiments, other similar-looking systems may be distinguished when determining whether such systems are linked and / or what type of link. For example, linking similar data for analysis is different from linking similar data for graphing. Therefore, the advantages of the present disclosure can be applied to a wide variety of systems, such systems may be considered to be linked herein, while in certain embodiments, a given system may not be considered to be linked herein.One of ordinary skill in the art, by virtue of the benefits of the disclosure herein and the knowledge of the intended systems that are ordinarily available to that person, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. For one of ordinary skill in the art, particular considerations in determining whether the intended system is linked and / or whether aspects of the present disclosure can provide benefits or enhancements to the intended system include, but are not limited to, linking a marketplace or external marketplace to a system or platform, linking data (e.g., a data cluster including links and nodes), storing and retrieving data linked to a local process, links in a common knowledge graph (e.g., regarding nodes), data linked to a vicinity or location (e.g., of an asset), links to an environment, links to an environment (e.g., of goods, services, assets, etc.), links to events (e.g., for storage such as blockchain, for communication and analysis), links of ownership or access rights, links to access tokens (e.g., travel offers linked to access tokens), links to one or more resources (e.g., protected by encryption or other technologies), links of messages to smart contracts, and the like.

[0226] The term "indicator of interest" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, an indicator of interest can be an indicator of interest from a user or multiple users or a party related to a transaction (e.g., a party interested in participating in a loan transaction), a recording or storage of such interest (e.g., a circuit that records inputs of matters of interest from a user, party, circuit, system, etc.), a circuit that analyzes data related to matters of interest to set an indicator of interest (e.g., a circuit that sets or communicates an indicator based on inputs to the circuit from a user, party, entity, system, circuit, etc.), a model learned to determine an indicator of interest from input data related to a matter of interest by one of multiple inputs from a user, party, or financial institution, etc. A particular component may not be considered an indicator of interest individually, but may be considered an indicator of interest in an aggregated system. For example, a party may be interested in information related to such a transaction even though the party is interested in a translation marketplace where the party seeks information, but that may not be considered an indicator of interest in the transaction. However, when a party asserts a particular interest (e.g., via a user interface with a control input to indicate interest), the party's interest may be recorded (e.g., in a memory circuit, a blockchain circuit), analyzed (e.g., via an analysis circuit, a data collection circuit), monitored (e.g., via a monitoring circuit), etc. In non-limiting examples, an indicator of interest may be recorded from a series of parties (e.g., on a blockchain via a distributed ledger) regarding a product or service, etc., such as something that defines parameters for which a party desires to commit to purchasing a product or service. In a particular embodiment, an indicator of interest may be considered an indicator of interest for one purpose but not for another purpose. For example, a user can indicate interest in a loan transaction, but that does not necessarily mean that the user is indicating interest in providing a type of collateral related to the loan transaction. For example, a data collection circuit records an indicator of interest in a transaction, but may have another circuit structure for determining an indicator of interest in collateral.Furthermore, in certain embodiments, other similarly - looking systems may be distinguished when determining whether such a system is determining an indication of interest and / or what type of indication of interest exists. For example, one circuit or system may collect data from multiple parties to determine an indicator of interest in securing a loan, and a second circuit or system may collect data from multiple parties to determine an indicator of interest in determining ownership related to the loan. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system can be considered an indication of interest herein, while in certain embodiments, a given system may not be considered an indication of interest herein. One of ordinary skill in the art, by having the benefit of the disclosure herein and knowledge of the intended systems that the person normally uses, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Particular considerations when one of ordinary skill in the art determines whether an intended system is an indication of interest and / or whether aspects of the present disclosure can benefit or enhance the intended system include, but are not limited to, parties showing interest in participating in a transaction (e.g., a loan transaction), parties showing interest in securing in a product or service, recording or storing the indication of interest (e.g., via a memory circuit or a blockchain circuit), analyzing the indication of interest (e.g., via a data collection and / or monitoring circuit), and the like.

[0227] The term "accommodation facility" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, an accommodation facility may include rooms, groups of rooms, tables, seating, buildings, events, shared spaces provided by individuals (e.g., AirBnB spaces), bed and breakfasts, workspaces, conference rooms, convention spaces, fitness accommodation facilities, health & wellness accommodation facilities, dining accommodation facilities, etc., and any service, activity, event, etc. where someone can live, stay, sit, reside, or participate. Thus, an accommodation facility can perform purchases (e.g., tickets via a sports ticket application), reservations (e.g., reservations via a hotel reservation application), provision as a reward or gift, transactions or exchanges (e.g., via a marketplace), provision as an access right (e.g., provided due to aggregated demand), provision based on contingencies (e.g., room reservation conditional on the availability of a nearby event), etc. Certain components may not be considered accommodation facilities individually but may be considered accommodation facilities in an aggregated system. For example, a resource such as a hotel room may not be considered an accommodation facility by itself, but a room reservation may be considered an accommodation facility. For example, a blockchain and smart contract platform for the rights of the forward market of an accommodation facility may provide a mechanism for providing access rights related to the accommodation facility. In a non-limiting example, the blockchain circuit may be configured to store access rights in the forward demand market, and the access rights may be stored in a distributed ledger having related shared access to multiple actionable entities. In certain embodiments, an accommodation facility may be considered an accommodation facility for one purpose but not for another. For example, a room reservation is an accommodation facility in itself, but may not be an accommodation facility that is fulfilled if, for example, related contingent circumstances agreed upon at the time of reservation are not met.Furthermore, in some embodiments, other similarly - looking systems may be distinguished when determining whether the system is related to a lodging facility and / or what type of lodging facility it is. For example, the provision of the lodging facility may be based on different systems, such as one determined by a system that collects data related to forward demand and a second one provided as a reward based on a system that processes performance parameters. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system can be considered related to the lodging facilities described herein, while in certain embodiments, a given system may not be considered related to the lodging facilities described herein. One of ordinary skill in the art, having the benefit of the disclosure herein and knowledge of the intended systems that the person normally uses, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Particular considerations in determining whether the intended system is related to a lodging facility and / or whether aspects of the present disclosure will benefit or enhance the intended system are not limited, but include lodging facilities provided as determined via a service circuit, engaging in transactions or exchanges of services (e.g., via an application and / or user interface), lodging facilities provided in combination with products, services, and access rights, processed (e.g., aggregation of demand for offerings in the forward market), lodging facilities by prior reservation, lodging facilities by prior reservation after meeting certain conditions (e.g., regarding price within a given time frame), and the like.

[0228] The term "contingency" (and similar terms) as used herein should be understood broadly. Without limitation to other aspects or descriptions of the present disclosure, contingency includes any contingency that includes an action that depends on a second action. For example, a service can be provided conditional on a certain parameter value, such as collecting data conditional on an asset tag instruction from an Internet of Things circuit. Also, an accommodation facility such as a hotel reservation may be conditional on a concert (held at the same time as the reservation at that hotel's location) being held as scheduled. For example, data inputs collected from a data collection service circuit may be stored, analyzed, processed, etc., and may not be considered for contingent situations, but a smart contract service circuit can apply contractual conditions conditional on the collected data. For example, the data may indicate the collateral status regarding a loan transaction, and the smart contract service circuit may apply the data to contractual conditions that depend on the collateral. In certain embodiments, a contingency may be considered a contingency for one purpose but not for another. For example, the transfer of a contingent access right for a future event is conditional on the loan conditions being met, but the loan conditions themselves may not be considered a contingency if there is no contingent link between the conditions and the access right. Further, in certain embodiments, other similarly-appearing systems may be distinguished in determining whether such a system is related to a contingency and / or what type of contingency it is. For example, two algorithms may both create forward market event access tokens, but the first algorithm creates a non-contingent token and the second algorithm creates a token with a contingency regarding the transfer of the token. Thus, the advantages of the present disclosure can be applied to a wide variety of systems, and any such system may be considered a contingency herein, while in certain embodiments, a given system may not be considered a contingency herein.Those skilled in the art, by having the benefit of the disclosure herein and the knowledge of the intended systems that are normally available to that person, can readily determine which aspects of the present disclosure will benefit a particular system and / or how to combine the processes and systems of the present disclosure to enhance the operation of the intended system. Particular considerations in determining whether the intended system is a contingency and / or whether aspects of the present disclosure can benefit or enhance the intended system include, but are not limited to, the forward market operating within or by the platform, which may be a contingent forward market where future rights are vested, triggered, or emerge based on the occurrence of events, satisfaction of conditions, etc. All forms of events or accidental markets for access tokens, such as accidental access rights, underlying access rights, tokens, price setting and monitoring of fees, etc., creation of accidental forward market event access tokens that may result in ownership of tickets and may be stored on the blockchain, discovery and distribution of accidental access rights to future events, accidents that affect or represent future demand for offerings including sets of products, services, etc. Pre-defined contingencies; recognizing and predicting patterns, establishing rule...

Claims

1. 1. A system comprising: a data collection circuit configured to receive data relating to a plurality of security items; a collateral classification circuit configured to identify at least one group of related collateral items among the plurality of collateral items, each member of the at least one group sharing a common attribute; and a smart contract circuit configured to create a smart lending contract, the smart lending contract defining a subset of collateral items as security for a series of loans, the subset of collateral items being selected from the at least one group of related collateral items.

2. 2. The system of claim 1, wherein the collateral classification circuitry is further configured to select the common attribute from the received data.

3. 2. The system of claim 1 , wherein the common attributes are selected from a list of a plurality of attributes consisting of the type of the collateral item, the category of the collateral item, the value of the collateral item, the price of the type of collateral item, the value of the type of collateral item, the specifications of the collateral item, the product feature set of the collateral item, the model of the collateral item, the brand of the collateral item, the manufacturer of the collateral item, the age of the collateral item, the condition of the collateral item, the valuation of the collateral item, the status of the collateral item, the context of the collateral item, the status of the collateral item, the storage location of the collateral item, the history of the collateral item, the ownership of the collateral item, the custodian of the collateral item, the security of the collateral item, the owner status of the collateral item, a lien on the collateral item, the storage condition of the collateral item, the maintenance history of the collateral item, the usage history of the collateral item, the accident history of the collateral item, the failure history of the collateral item, the ownership history of the collateral item, the valuation of the collateral item, the geographic location of the collateral item, and the jurisdiction of the collateral item.

4. 4. The system of claim 3, wherein the smart lending contract is further configured to identify the subset of collateral items in real time, and the common attribute is a similarity in status of the collateral items.

5. 5. The system of claim 4, wherein the similarity of status is based on each of the subset of collateral items being in transit during a defined time period.

6. 10. The system of claim 1, wherein the data collection circuitry comprises at least one system selected from a plurality of systems consisting of an Internet of Things system, a camera system, a network-enabled surveillance system, an Internet surveillance system, a mobile device system, a wearable device system, a user interface system, and an interactive crowdsourcing system.

7. 2. The system of claim 1, wherein the series of loans includes multiple loans distributed among multiple borrowers.

8. a valuation circuit configured to determine a value of each security item in the subset of security items based on the received data and a valuation model; 8. The system of claim 7, wherein the smart contract circuitry is further configured to redefine the subset based on the value of each collateral item.

9. The smart contract circuit comprises: determining at least one of terms or conditions of the smart lending contract based on the value of at least one of the subset of collateral items; and 10. The system of claim 8, further configured to modify the smart lending contract to include the at least one of the terms or the conditions.

10. 10. The system of claim 9, wherein the at least one of the terms or the conditions is associated with a loan component selected from a plurality of loan components consisting of loan parties, loan collateral, loan-related events, and loan-related activities.

11. 10. The system of claim 9, wherein the at least one of the terms or conditions is selected from the list consisting of: principal of the loan, balance of the loan, fixed interest rate, description of variable interest rate, payment amount, repayment schedule, balloon repayment schedule, collateral designation, description of substitute collateral, description of parties, description of guarantee, description of guarantor, description of collateral, personal guarantee, lien, foreclosure conditions, conditions of default, consequences of default, agreements relating to any one of the foregoing, and duration of any one of the foregoing.

12. 10. The system of claim 8, wherein the valuation circuitry includes a valuation model improvement circuitry configured to modify the valuation model based on a first set of valuation decisions for a first set of collateral items and a corresponding set of loan outcomes having the first set of collateral items as security.

13. 13. The system of claim 12, wherein the assessment model improvement circuitry comprises at least one system from a list of a plurality of systems consisting of a machine learning system, a model-based system, a rule-based system, a deep learning system, a neural network, a convolutional neural network, a feed-forward neural network, a feedback neural network, a self-organizing map, a fuzzy logic system, a random walk system, a random forest system, a probabilistic system, a Bayesian system, a simulation system, and a hybrid system including at least two of any of the foregoing.

14. 10. The system of claim 8, wherein the collateral classification circuitry is further configured to identify groups of collateral offset items, each member of the group of collateral offset items and the subset of collateral items sharing a common attribute.

15. 15. The system of claim 14, wherein the valuation circuitry further comprises a market value data collection circuitry configured to monitor and report market information for at least one of the groups of collateral offset items.

16. 16. The system of claim 15, wherein the market value data collection circuitry is further configured to monitor one of prices or financial data for at least one of the groups of collateral offset items in at least one public market and to report the monitored price or financial data.

17. 2. The system of claim 1, wherein at least one of the set of loans is of a type selected from a plurality of loan types consisting of auto loans, inventory loans, capital equipment loans, performance bonds, capital improvement loans, building loans, accounts receivable secured loans, invoice financing arrangements, factoring arrangements, payday loans, refund advance loans, student loans, syndicated loans, title loans, residential mortgages, venture debt loans, intellectual property loans, contractual claim loans, working capital loans, small business loans, farm loans, municipal bonds, and subsidized loans.

18. 2. The system of claim 1, wherein at least one of the plurality of collateral items is selected from a list of a plurality of items consisting of vehicles, boats, airplanes, buildings, homes, real estate properties, undeveloped land properties, farms, crops, municipal facilities, warehouses, inventory, merchandise, securities, currency, tokens of value, tickets, cryptocurrency, consumables, food products, beverages, precious metals, jewels, gemstones, consumables, intellectual property rights, contractual rights, antiques, fixtures, furniture, tools, machinery, and personal property.

19. 2. The system of claim 1, further comprising a blockchain service circuit configured to store at least one of the smart lending contract or a reference to the smart lending contract as blockchain data.

20. 2. The system of claim 1 , further comprising a reporting circuit configured to report a security event based on the received data, the security event relating to a value of one of the plurality of security items, a status of one of the plurality of security items, or ownership of one of the plurality of security items.

21. 21. The system of claim 20, further comprising an automated agent circuit configured to perform a security-related action in response to the security event.

22. 22. The system of claim 21, wherein the security-related action is selected from a plurality of actions consisting of verifying title of one of the plurality of security items, recording a change in title of one of the plurality of security items, assessing a value of one of the plurality of security items, initiating an inspection of one of the plurality of security items, initiating maintenance of one of the plurality of security items, initiating security of one of the plurality of security items, and changing terms and conditions of one of the plurality of security items.

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