Asset Data Validation for Private Tokenized Securities Onboarding
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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 synchronized semi-redundant ledgers that maintain private and public records of transactions, allowing anonymous trading of tokenized real estate assets, and automatically updates capitalization tables, integrated with AI for validation and training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized databases are used for transaction recording, then transaction privacy can be maintained, but system reliability and transparency are reduced
Solution Approach 1:
The system segments transaction data into two distinct layers: public transaction details recorded on the blockchain for transparency, and private participant information stored in centralized databases for privacy. This segmentation allows simultaneous achievement of both transparency and privacy by placing different types of information in appropriate storage systems.
Solution Approach 2:
The patent introduces an intermediary layer that connects the public blockchain with private centralized databases. This intermediary mechanism enables the system to maintain public trust through blockchain transparency while protecting sensitive participant information in private databases, resolving the contradiction between transparency and privacy.
2Productivity
If manual capitalization table management is used, then implementation simplicity is maintained, but productivity and accuracy are reduced
Solution Approach 1:
The system implements self-service automation where the platform automatically generates, updates, and manages capitalization tables without manual intervention. The system autonomously tracks asset ownership, calculates distributions, and maintains compliance records, significantly improving productivity while the modular architecture keeps complexity manageable.
Solution Approach 2:
The automated capitalization table system serves multiple functions simultaneously: tracking ownership, calculating distributions, managing compliance, and generating reports. This multi-functionality consolidates what would otherwise require multiple separate manual processes into a single integrated system, improving overall productivity without proportionally increasing complexity.
3Measurement precision
If existing asset onboarding processes are used, then process simplicity is maintained, but measurement precision and validation accuracy are reduced
Solution Approach 1:
The system performs preliminary validation and verification actions during the asset onboarding process itself, checking data accuracy, authenticity, and compliance requirements before the asset is fully registered. This preliminary action ensures high measurement precision by catching and correcting errors early, while the structured validation framework keeps complexity manageable through systematic checking.
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.