About Reppo

Planetary Scale AI Training Data through Prediction Markets.

Reppo is a decentralized blockchain-based protocol designed to enable a market for AI training data - A network where data owners, data labelers, data annotators and data consumers all interact, validate and get rewarded based on an incentive framework built for crowdsourcing, labeling, and monetizing AI training data using on-chain primitives.

Reppo Network is made up of public and private subnets, and can be viewed as "Bittensor for AI training Data" for the broad strokes understanding of the team's vision, although the incentive mechanism, consensus rules, and architecture are substantially different. The "miners" on the Reppo network are training data (source data) contributors. They produce outputs which is evaluated by voters (VeREPPO holders) who can be compared to "validators" and redirect network emissions to miners.

Today, Reppo does not operate its own L1 or L2 blockchain. It is a generalized Data-AI coordination layer to crowdsource on-demand human feedback at planetary scale.

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Our flagship product is a self-serve platform, deployed on Base, that allows anyone to start generating AI training data. On the public subnet maintained by Reppo Foundation, we facilitate interaction between GenAI content creators and voters to gather curated human feedback and preference data. We are also collecting evals on the various tools and models used by creators on Reppo.

Enterprises, startups, and even individuals can permissionlessly start new subnets and start collecting curated human feedback on crowdsourced or proprietary content, generating high quality RLHF and DPO training data on-demand for AI models and applications such as self-driving cars, mapping, AR/VR, robotics.

Our mission is to build an open and permissionless network where anyone can contribute to training datasets, provide high signal feedback through their domain expertise, and contribute to making the next gen AI models and systems human aligned.