Datanets: Community-owned datasets that can be used to train AI models. Contributors are rewarded for their data contributions. �

Openledger +1

Proof of Attribution: Tracks which data and contributors helped produce AI outputs, enabling fair reward distribution. �

CoinMarketCap +1

ModelFactory: A no-code environment for training and fine-tuning AI models. �

CoinMarketCap +1

OpenLoRA: Infrastructure for efficiently serving many specialized AI models on shared hardware. �

CoinMarketCap

OPEN Token: Used for transaction fees, governance, staking, and rewarding ecosystem participants. �

CoinMarketCap +1

How It Works

Users contribute data to DatanetsUsers contribute data to Datanets.

Developers train AI models using those datasets.

All contributions and model activity are recorded on-chain.

Revenue and rewards are automatically distributed according to verified contributions. �

Openledger +1

Goal

OpenLedger's vision is to create a decentralized AI economy where data providers, model creators, and AI application developers can all participate in and benefit from the value generated by AI systems. �

Openledger Foundation +1

If you're interested, I can also explain the �⁠OPEN tokenomics, �⁠how to earn rewards on OpenLedger, or provide a �⁠price and market analysis of OPEN token.