OpenLedger: The AI-First Blockchain Revolution
As AI development accelerates, many models, datasets, and agents remain locked behind centralized systems—opaque, unaccountable, and disconnected from DeFi and Web3. OpenLedger offers a different path. It’s an AI-native blockchain built to unite intelligence, finance, and data in one transparent, monetizable ecosystem.
AI natively embedded in the protocol
Unlike chains where AI is an add-on, OpenLedger places AI at the center. All major steps—model training, deployment of AI agents, dataset contributions—are executed on-chain. This enables:
Proof of Attribution: Every data contributor is tracked and rewarded.
Transparent model lineage: Users can see what data and models influenced each output.
Cost-efficient inference: With tools like OpenLoRA, many model variants can share GPU resources, reducing hardware and operational costs.
Native economic incentives and utility
OpenLedger’s token, $OPEN, supports the ecosystem via multiple utilities:
Gas for transactions on the chain.
Fees for model inference, training, and inference tasks.
Rewards for data contributors based on their real influence over model outputs.
Tokenomics: total supply is 1,000,000,000 OPEN tokens. Around 21.55% was initially circulating; most tokens are allocated to community and ecosystem programs.
Ecosystem & Infrastructure Highlights
Datanets: Community-curated datasets focused on specific domains, where contributors upload, verify, and maintain high-quality data.
ModelFactory: A no-code / low-code environment for fine-tuning, building and deploying AI models using Datanet-provided data.
Proof of Attribution (PoA): Dual-method attribution system—one method for smaller models (influence functions), another for large models (e.g. suffix-array/token-attribution techniques) to determine how output depends on which inputs.
Governance: OPEN token holders participate in network decisions, protocol upgrades, and model funding via established frameworks.
