• OpenLedger is an AI blockchain that unlocks liquidity across data, models, applications, and agents. 

    • It enables the training, deployment, and on-chain tracking of specialized AI models and datasets, solving critical challenges in transparency, attribution, and verifiability. 

    • At its core is Proof of Attribution, a mechanism that identifies the data points shaping a model’s output and rewards their contributors.

    • OpenLedger is built on over a decade of Stanford research and developed by four leading academics.

  • OpenLedger addresses both sides of the problem:

    • OpenLedger enables developers to collect specialized data from the community through Datanets and build AI models with the no-code Model Factory, deploying them directly on the OpenLedger Blockchain.

    • Every model is embedded with Proof of Attribution, which ensures incentivization for data contributors, explainability of model outputs and full provenance of the AI lifecycle.

  • The OPEN token is the native gas token of the OpenLedger Blockchain and plays a central role in shaping the network’s economy and governance.

    • Proof of Attribution Rewards: OPEN token is distributed to data contributors when their data is identified as influencing model inference.

    • Payments and Settlement: OPEN token is used for transactions within the OpenLedger AI Blockchain QT network, including inference fees, model access, staking and datanet usage.

    • Governance: Holders of OPEN token are able to participate in protocol governance. The governance system will oversee protocol parameters, upgrades, ownership transfers, and other critical network decisions.

    • Ecosystem Incentives: OPEN token is allocated to encourage development of models, datanets, and agents within the ecosystem.

  • OpenLegder consists of three main components:

    • Product:

      • Model Factory & OpenLoRA: End-to-end infrastructure for training, fine-tuning, and hosting models, with LoRA adapters verified on-chain.

      • Proof of Attribution (PoA): On-chain attribution system that identifies data influence on model outputs and compensates contributors in $OPEN.