The AI boom has a hidden problem: data and compute contributors rarely get paid. When you upload a dataset, label images, or fine-tune a model, the value flows to centralized platforms. @OpenLedger is tackling this head-on by making AI work transparent, attributable, and rewarded on-chain.

OpenLedger is an AI-first blockchain designed around a simple idea: every dataset, model, and agent should have verifiable provenance. Through its Proof of Attribution system, the network cryptographically records the lineage of data and models. If your data is used to train or run an inference, you get paid automatically in $OPEN.

The core components make this possible. Datanets are community-run networks for domain-specific data like finance, healthcare, or legal. ModelFactory gives developers a no-code way to fine-tune models using those Datanets. OpenLoRA then deploys thousands of lightweight models efficiently for inference. All of this runs on an Ethereum-compatible Layer 2, so it’s fast and composable with existing Web3 tooling.

For contributors, the model is straightforward. Upload data, label it, or provide compute. Once it’s used, you receive $OPEN based on actual usage and impact. This turns AI into a two-sided marketplace where value doesn’t stop at the model owner. It flows back to the people who made it possible.

The tokenomics back this up. $OPEN has a 1B total supply and is used for transaction fees, staking, governance, and accessing AI services on the network. Recent ecosystem activity in 2025 included exchange listings, airdrops, and the Yapper Arena rewards program with 2M $OPEN allocated for top contributors.

If you believe AI should be open, auditable, and fair to builders, @OpenLedger is one of the projects actually building that stack. Check their profile and dive into the docs to see how you can participate. #OpenLedger