Reppo secures $20M for prediction markets to fix AI data bottleneck

Reppo Foundation said it has received a $20,000,000 strategic investment commitment from Bolts Capital to scale its decentralized prediction markets protocol and “Datanets.” The funding is intended to grow Reppo’s ecosystem and promote using prediction markets to address the AI training data bottleneck—where datasets can be noisy, biased, or low-signal and limit model performance even as compute scales. Reppo’s core thesis is to convert human judgment into verifiable, incentive-aligned data streams. By having participants stake capital on their beliefs, the system is designed to produce sharper probability estimates and richer behavioral signals than traditional labeling pipelines. Reppo also claims multimodal support for text, images, audio, and video, organized through decentralized Datanets for model training, evaluation, and fine-tuning. Traders should view this as a bet that prediction markets can evolve from speculative venues into “data infrastructure” for AI. If Reppo demonstrates that market-generated data improves training and evaluation quality, Bolts Capital’s commitment could be an early, high-conviction signal for the broader prediction market-as-data narrative—though it may not immediately move crypto prices.