What is OpenLedger (OPEN)?

By CMC AI
05 November 2025 10:30PM (UTC+0)

TLDR

OpenLedger (OPEN) is an AI-focused blockchain enabling decentralized data sharing, model training, and transparent rewards through on-chain attribution.

  1. Purpose: Solves AI’s opacity by tracking data/model contributions and rewarding creators.

  2. Technology: Uses Proof of Attribution to link AI outputs to their sources.

  3. Ecosystem: Offers tools like Datanets and ModelFactory for collaborative AI development.

Deep Dive

1. Purpose & Value Proposition

OpenLedger tackles centralized AI monopolies by decentralizing ownership of data, models, and agents. Traditional AI systems often obscure data origins and undercompensate contributors, while OpenLedger’s Proof of Attribution ensures every contribution—whether data, code, or model tuning—is recorded on-chain. This transparency allows contributors to earn rewards whenever their work is used, fostering a fairer AI economy.

2. Technology & Architecture

The platform’s stack includes:
- Datanets: Decentralized repositories where users upload datasets and earn when others use them.
- ModelFactory: A no-code interface for training AI models with community-contributed data.
- OpenLoRA: Reduces deployment costs by up to 99% via optimized resource allocation.
Built as a custom Ethereum-compatible blockchain, OpenLedger uses the OPEN token for gas fees, governance, and incentivizing participation.

3. Key Differentiators

Unlike generic blockchains, OpenLedger is purpose-built for AI workflows. Its Proof of Attribution system contrasts with projects that tokenize AI superficially. For example, contributors retain ownership and earn royalties in perpetuity, unlike centralized platforms like OpenAI. Partnerships with Trust Wallet and LayerZero enhance cross-chain interoperability, enabling AI agents to function across 130+ networks.

Conclusion

OpenLedger reimagines AI development as a community-driven process where transparency and ownership are paramount. By aligning incentives across data providers, model builders, and users, it challenges the dominance of opaque, corporate-controlled AI. Can its attribution framework become the standard for ethical AI collaboration?

CMC AI can make mistakes. Not financial advice.