Openledger is a blockchain infrastructure for AI that runs as an Ethereum Layer-2 (L2) network which leverages Optimistic rollup technology. The network is designed to monetize and track contributions to data, models, and AI agents. All key actions in the AI development lifecycle – from dataset uploads and model training to inference usage and rewards – are executed on-chain for full traceability. At its core, the platform introduces Proof of Attribution — a mechanism that traces which data points influence an AI model’s output, ensuring contributors are transparently credited and fairly rewarded whenever the model is used.

Project Function

Community Datanets: OpenLedger lets users form decentralized data pools called Datanets to aggregate and curate high-quality, domain-specific datasets for AI training. Each data contribution is validated and recorded on-chain with verifiable attribution.

Model Factory (No-Code Fine-Tuning): Model Factory is a no-code tool to build specialized models on top of base models. It trains LoRA adapters using curated data from Datanets.

OpenLoRA Deployment Engine: OpenLedger provides OpenLoRA, a highly efficient framework for serving many fine-tuned models at scale. It enables dynamic loading of LoRA model adapters so that thousands of fine-tuned models can run on a single GPU, optimizing resource use.

Proof of Attribution: A core innovation of OpenLedger is its Proof-of-Attribution system for AI. Every action – adding a data point, training a model, or using a model for inference – is tracked and attributed on-chain. This means the platform can always tell whose data or work influenced a model’s output, and it automatically rewards contributors whenever that model is used in an application.

AI Studio & Applications: OpenLedger’s features come together in the AI Studio, an end-to-end environment where anyone can upload data, build models, and deploy AI applications on-chain.

Token Utility 

Proof of Attribution rewards: OpenLedger rewards data contributors in OPEN through its attribution engine, which traces the data points influencing model behaviour. This ensures contributors receive automatic and fair compensation during training or inference, aligning incentives across the AI supply chain.

Governance: OPEN holders participate in governance, deciding on protocol upgrades, parameters, ownership, and other key changes. This grants the community direct control over critical decisions on a securely deployed mainnet.

Gas for AI Transactions: OPEN serves as the token for all interactions. Every transaction and on-chain operation, including model registration, inference calls, validator communication, and governance triggers, requires OPEN as gas. This reduces reliance on ETH and enables a tailored fee model optimised for AI use cases.

Model Training, Deployment & Inference Payments: Developers use $OPEN to register, train, and publish models on-chain, earning from inference usage, while users pay with $OPEN to query models. Fees are transparently distributed among model owners, data contributors, and core infrastructure, ensuring fair value sharing across the AI lifecycle.

About The Founders

Ramkumar Subramanian and Kameshwaran Elangovan are the Core Contributors of OpenLedger.

Risks of OPEN

Like an investment in other crypto assets, there are some general risks to investing in OPEN. These include:  (i) volatility risk and liquidity risk, (ii) short history risk, (iii) demand risk, (iv) forking risk, (v) code defects, (vi) regulatory risk, (vii) electronic trading risk, and (viii) cyber security risk. For additional information of these and other general risks associated with crypto assets and Uphold’s platform, please refer to the Risks Specific to Holding Digital Assets statement.

In addition to these general risks, an investment in OPEN is subject to the following specific risks:

OPEN operates using smart contracts, which have an association with vulnerabilities and security breaches. Despite undergoing successful audits by well-regarded third-party entities, it is essential to acknowledge the existence of inherent risks. 

We emphasize that this Crypto Asset Statement is not an exhaustive description or summary of all risks associated with OPEN. Investors should conduct their own research and perform their own assessment before trading any crypto asset to determine the appropriate level of risk for their personal circumstances.

The OPEN community and Openledger founding team are not under any legal or regulatory obligation to disclose material information to the public regarding its activities. Holders of OPEN have no recourse to the OPEN community, Openledger founding team, or Uphold if OPEN declines in value for any reason.

Changes to applicable law may adversely affect the use, transfer, exchange, or value of any of your crypto assets, and such changes may be sudden and without notice.

Uphold’s Evaluation Process

Prior to listing OPEN on the Uphold Platform, Uphold performed due diligence on OPEN and determined that OPEN is unlikely to be a security or derivative under relevant securities legislation. Uphold’s analysis including reviewing publicly available information on the following: 

The creation, governance, usage, and design of OPEN, including ensuring the source code is open-source, audited and peer reviewed, security, and roadmap for growth in the developer community. 

The supply, demand, maturity, utility, and liquidity of OPEN.

Any marketing materials put forward by the OPEN social team including on, Twitter, Medium blog, LinkedIn posts, Discord and Telegram channels.

Material technical risks associated with OPEN, including any code defects, security breaches and other threats concerning OPEN and its supporting blockchain (such as the susceptibility to hacking and impact of forking), or the practices and protocols that apply to them.

Legal and regulatory risks associated with OPEN, including any pending, potential, or prior civil, regulatory, criminal, or enforcement action relating to the issuance, distribution, or use of OPEN.