T-RIZE Labs Ongoing Research

The T-RIZE Labs is working on blockchain and decentralized machine learning applications with strong commercialization potential.

1. Fair Rewards for Model Training

Objective: Enables secure, decentralized AI training that fairly compensates contributors based on their input. This system appeals to industries where data is siloed due to privacy motives.
Application: Enterprise-level SaaS for industries like healthcare or finance to monetize private datasets by collaboratively training AI models.

2. zk-Proof Off-Chain Inference

Objective: Provides verifiable AI model predictions, ensuring that results are trustworthy and transparent.
Application: Applicable for industries requiring provable AI outputs, potentially as a service for sectors like finance or legal. Predictions can be used and monetized on-chain.

3. Trainer Matching (Top Trading Cycle)

Objective: Optimizes AI trainer selection and reward distribution, improving the efficiency of decentralized machine learning networks.
Application: Can be used by decentralized AI networks to scale training efficiency and incentivize participants.

4. Real Estate Price Predictions (Non-iid)

Objective: AI-driven price prediction models for complex, non-standard real estate markets.
Application: A premium analytics tool for investors, property platforms, or real estate asset managers.

5. IoT & Blockchain for Carbon Credits

Objective: Estimates carbon credit production using IoT and blockchain, providing accurate and verifiable data for carbon markets.
Application: Targeted at sustainability sectors and carbon trading platforms.

6. Blockchain-Based Reputation System

Objective: Ensures trust and accountability in decentralized marketplaces through blockchain-backed reputation tracking.
Application: Applicable for decentralized marketplaces, enhancing user trust, and potentially as a paid add-on for marketplace platforms.