@OpenLedger
Core Function: It aims to solve the problem of siloed, uncompensated high-value data by providing a transparent and verifiable infrastructure for AI data, models, applications, and agents.
Key Feature (Proof of Attribution): It uses a system called "Proof of Attribution" to cryptographically link AI outputs to their training data and contributors. This ensures fair compensation and an auditable trail for every contribution (data, models, or compute) recorded on-chain.
Components: The platform includes Datanets (for organizing and contributing specialized datasets) and ModelFactory (for creating and training models
