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 data. High-quality human preference & alignment training data is overwhelmingly only accessible only to large labs and well-funded startups today, leaving independent researchers and developers without options.

Reppo aims to democratize access to this class of data by enabling anyone in the world to curate, build, and access AI training data — lowering the barrier to entry while increasing fairness in value accrual to everyone involved.

Reppo's permissionless and decentralized network leverages gamification mechanics and cryptoeconomics to coordinate source data creators/owners, data labelers + annotators, and AI developers looking to consume this data while preventing value leakage prevalent in the vendor based model in the industry today.

It is only when a large lawsuit or newsworthy event happens that we question how the AI training data is sourced by the largest labs today. Access to this data remains highly concentrated and data vendors are often seen engaging in shady practices.

AI training data providers and vendors 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. The process of generating and delivery of AI training data lacks cryptographic verification of credentials for domain experts and often misses the mark on incentive alignment.

Our team has set out to build the first self-serve platform powered by crypto incentives to solve these bottlenecks while providing AI researchers, startups, and small teams with a seamless experience to source and access datasets on-demand using on-chain guarantees and incentives.