Model Evolution Platform With Feedback Loops and Publish Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient and compliant platform for creating and trading digital securities representing real assets, such as real estate, while maintaining transaction privacy and compliance with securities regulations.
Innovation Solution
A transaction platform with semi-redundant ledgers that synchronize a primary ledger storing personally identifiable information and a secondary ledger on a blockchain, allowing anonymous trading of tokenized assets while ensuring regulatory compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized ledger stores all transaction data including PII, then compliance with securities regulations is improved, but transaction privacy and security are worsened
Solution Approach 1:
The system divides the ledger into two separate ledgers: a centralized primary ledger that stores PII and regulatory compliance data, and a decentralized secondary ledger on blockchain that stores only transaction hashes and public information. This segmentation allows the system to maintain regulatory compliance in the primary ledger while protecting user privacy and reducing security risks in the secondary ledger.
Solution Approach 2:
The system extracts sensitive PII data from the public blockchain ledger and stores it only in the private primary ledger. Only non-sensitive transaction hashes and public information are published to the secondary blockchain ledger, thereby removing the security risk of exposing PII on a public distributed ledger while maintaining the benefits of blockchain immutability for transaction verification.
2Measurement precision
If a public blockchain ledger is used for transparency, then transaction verification is improved, but user privacy is worsened
Solution Approach 1:
The system segments transaction information into public elements (transaction hashes, timestamps, asset types) that are published on the blockchain for verification, and private elements (user identities, account numbers, sensitive metadata) that are stored only in the private primary ledger. This allows transaction verification without exposing user privacy.
Solution Approach 2:
The system uses transaction hashes as intermediaries between the private primary ledger and the public secondary ledger. The primary ledger generates cryptographic hashes of transactions and publishes only these hashes to the blockchain, allowing verification of transaction integrity without revealing any sensitive information about the transactions themselves.
3Device complexity
If manual capitalization table maintenance is used, then system complexity is reduced, but productivity and accuracy are worsened
Solution Approach 1:
The system implements automated capitalization table maintenance through smart contracts that automatically update ownership records, track token transfers, and generate capitalization tables based on blockchain transaction data. This self-service automation eliminates manual intervention, improving both productivity and accuracy while the modular architecture keeps system complexity manageable.
Data Source
AI summary
In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.


