ORO

ORO is a human-intelligence protocol that lets users contribute private, high-value data to AI systems while preserving privacy and earning rewards for their contributions. The product rewards users for completing data collection activities such as quests or linking social/health accounts, with ORO points determining future token rewards. Its technical approach uses privacy-preserving compute, including zkTLS, TEEs, anonymization, encryption, and on-chain validation/scoring, so AI models can benefit from user data without exposing or reselling the raw underlying information. The broader positioning is a data network for frontier AI: giving individuals control and compensation for the private data AI companies increasingly need as public training data becomes less sufficient.