Reppo Foundation Secures $20 Million Funding Commitment to Address Training Data Bottleneck with Prediction Markets

On April 23, the Reppo Foundation announced a strategic funding commitment of $20 million from Bolts Capital to advance protocol development and ecosystem expansion, focusing on building AI training data infrastructure centered around prediction markets. Reppo stated that its core philosophy is to transform human judgment into verifiable and incentivized data sources through prediction market mechanisms, addressing the current challenges of acquiring high-quality data for AI training. The project aims to construct a decentralized data network (Datanets) that supports multimodal data processing, including text, images, audio, and video, to facilitate model training, evaluation, and fine-tuning. RG, co-founder of Reppo Labs, noted that the prediction market is expected to reach an annual trading volume of $1 trillion by the end of this decade, having expanded from sports and events to information and opinion markets. Over the past month, the platform's trading volume has exceeded $2 million, validating the feasibility of its model. The project also proposes using crypto-economic incentives to allow AI agents and robots to pay humans directly for opinions and feedback, reducing reliance on centralized data providers. Currently, Reppo has received support from institutions including Protocol Labs and CMS Holdings.