What is OpenLedger (OPEN)?

Deep Dive

1. Purpose & Value Proposition

OpenLedger addresses a core issue in modern AI: value extraction. Currently, large corporations train models on vast datasets, but the original data contributors and specialized model builders rarely receive credit or payment (Openledger). The project aims to flip this dynamic by building a decentralized infrastructure for "Payable AI," ensuring transparent attribution and automated revenue sharing, similar to how platforms like YouTube reward creators.

2. Technology & Architecture

The platform's architecture is built around three key layers to manage the AI lifecycle:

• Datanets: These are decentralized networks where contributors can upload and license specialized datasets (text, images, audio). A Proof of Attribution mechanism tracks which data influences model outputs.
• ModelFactory: A no-code platform that allows developers to fine-tune AI models in a transparent, auditable way using data from Datanets.
• OpenLoRA: A serving layer designed to run thousands of fine-tuned models efficiently on a single GPU, drastically reducing deployment costs (KAI). The network itself is an EVM-compatible Layer 2 blockchain.

3. Tokenomics & Governance

The OPEN token is the utility and governance core of the network. It has a total supply of 1 billion tokens, with 21.55% in circulation at launch. Its primary uses are paying for network gas fees, rewarding data contributors via Proof of Attribution, and serving as payment for AI model training and inference services. Token holders also participate in decentralized governance votes to decide on protocol upgrades and parameters (Dr.OVG).

Conclusion

OpenLedger is fundamentally an attempt to build a new economic layer for AI on the blockchain, where contributions are traceable and value flows fairly to creators. Can its infrastructure for "Payable AI" become the standard for a more transparent and collaborative intelligence economy?