Why Reppo

Modern AI systems face a paradox: models grow ever more capable, but their long-term generalization is bottlenecked by the scarcity of high-quality, domain-specific labeled data. Reppo addresses this bottleneck via a novel, decentralized framework in which GenAI content creators/publishers, data labelers/annotators, and AI developers co-create, transact, and share value in a permissionless ecosystem.

The AI training data industry today is highly concentrated and is ridden with shady practices from data vendors. It is primarily designed to serve large players who have virtually unlimited capital to acquire high quality preference and AI alignment data.

Data labeling providers and vendors for human feedback / alignment data often lack transparency, are extractive in how they reward data creators and annotators, and often surpass legal and ethical boundaries which often bites back companies. Existing AI training data platforms lack cryptographic verification of credentials for domain experts, miss the mark on incentive alignment, and often have clunky UX.

Our team has set out to build the first self-serve platform that leverages the power of blockchain and crypto incentives to solve these issues and provide AI researchers, startups, and small teams with a seamless experience to build datasets using on-chain cryptographic guarantees and incentives.