Asset Data Validation With Semi-Redundant Ledgers for Private Trading
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Solution Overview
Problem
Existing platforms lack an efficient and compliant mechanism 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 automatically, allowing for the creation and trading of digital securities representing real assets, maintaining private and public transaction records without disclosing personally identifiable information, and dynamically updating capitalization tables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital securities are created and traded on existing platforms, then investment accessibility is improved, but transaction privacy and securities regulation compliance deteriorate
Solution Approach 1:
The system segments transaction data into two categories: personally identifiable information (kept private on the platform) and transaction details (published on blockchain). This segmentation allows the platform to provide investment accessibility while maintaining privacy and compliance by selectively disclosing information.
Solution Approach 2:
The patent introduces an intermediary mechanism where the platform acts as a mediator between private user data and public blockchain records. The platform validates and processes transactions locally before publishing anonymized versions on the blockchain, ensuring both accessibility and privacy/compliance requirements are met.
2Device complexity
If manual capitalization table management is used, then implementation simplicity is improved, but operational efficiency and accuracy deteriorate
Solution Approach 1:
The system implements self-service automation where the platform automatically generates, updates, and manages capitalization tables based on transaction data. This eliminates manual intervention while maintaining simplicity of use, as the automation handles complex calculations and updates without requiring user expertise in capitalization management.
Solution Approach 2:
The platform performs preliminary actions by automatically calculating and updating capitalization table data in real-time as transactions occur. This preliminary automation prevents manual errors and ensures accuracy without requiring complex manual processes, thereby improving operational efficiency while keeping the system simple to operate.
3Ease of operation
If traditional asset trading platforms are used, then ease of operation is improved, but transaction speed and market liquidity deteriorate
Solution Approach 1:
The system dynamically adjusts between maintaining user-friendly operation interfaces and enabling high-speed transactions. The automated capitalization table updates and real-time data validation occur dynamically in the background, allowing users to operate the system simply while experiencing fast transaction processing and immediate market reflection.
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.