Asset Onboarding Data Validation and AI Characterization
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Solution Overview
Problem
Existing platforms lack efficient and compliant mechanisms for creating and trading digital securities representing real assets, such as real estate, while maintaining transaction privacy and adhering to securities regulations, and there is a need for automated capitalization table management.
Innovation Solution
A computer technology platform with semi-redundant ledgers that synchronize transactions privately and publicly, allowing anonymous trading of asset tokens, and automatically updating capitalization tables, integrated with AI for validation and asset characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized ledgers are used for asset trading, then transaction transparency and regulatory compliance are improved, but transaction privacy and security are worsened
Solution Approach 1:
The patent divides the ledger into two separate semi-redundant ledgers: a public ledger for regulatory compliance and transparency, and a private ledger for transaction privacy and security. This segmentation allows each ledger to serve its specific function without compromising the other, resolving the contradiction between compliance and privacy.
Solution Approach 2:
The patent introduces an intermediary synchronization mechanism that coordinates data between the public and private ledgers. This intermediary ensures that the public ledger maintains regulatory compliance while the private ledger protects transaction privacy, allowing both requirements to coexist through controlled information flow.
2Productivity
If manual capitalization table management is used, then system complexity is reduced, but productivity and efficiency are worsened
Solution Approach 1:
The patent merges the capitalization table management function with the existing automated trading platform and ledger synchronization system. By combining these functions into an integrated automated system, the patent improves productivity without requiring entirely separate manual processes, as the capitalization table updates automatically alongside transaction recording.
3Adaptability or versatility
If existing asset tokenization platforms are used, then ease of operation is improved, but adaptability to different asset types and securities regulations is worsened
Solution Approach 1:
The patent designs a universal tokenization framework that can handle multiple asset types (real estate, securities, commodities) and different securities regulations through a common semi-redundant ledger architecture. This universality allows the platform to adapt to various asset classes and regulatory environments without requiring separate specialized systems, maintaining ease of operation while expanding adaptability.
Data Source
AI summary
The present invention extends to methods, systems, and computer program products for data retrieval and validation for asset onboarding and deriving asset characteristics. A first set of data associated with an asset is collected. Identifiers associated with the first set of data are created. A second set of data associated with the asset is collected based on the identifiers. The first set of data set and the second set of data are compared based on the identifiers. The first set of data is validated based on the comparison. An artificial intelligence module is trained as part of a continuous training cycle in view of validation findings. Concurrently with artificial intelligence module training, one or more characteristics of the asset are derived from the first set of data.