Reborn Uses DePAI and Crypto Rewards to Crowdsource High-Fidelity Motion Data for Humanoid Robots

Reborn DePAI is building a vertically integrated stack that addresses the biggest bottleneck in humanoid robot development: the lack of large-scale, high-quality real-world motion data. Its consumer-grade motion-capture kit, ReboCap, turns gamers and streamers into data miners, feeding millions of precise movement sequences into a unified simulation layer called Roboverse. Coupling this crowdsourced data with a multimodal simulator allows the firm to train the Reborn Foundation Model (RFM), one of the first foundation models for embodied AI. The company has already shipped 5,000 ReboCaps, has 160,000 monthly active users, and targets two million by year-end—all achieved without token incentives so far. Once a token is launched, dual rewards from Reborn and robot makers are expected to accelerate network growth, tightening the DePAI flywheel. Early pilots with Galbot and Noematrix and partnerships with Unitree, Booster Robotics and others validate market demand. As hardware costs fall, the competitive edge will shift to data and models; Reborn’s low-cost, scalable, and modular data pipeline positions it to become a core infrastructure provider for physical AI. For crypto traders, the eventual token launch could open exposure to a high-growth niche at the intersection of humanoid robots, AI, and decentralized networks. Key SEO keywords: Reborn DePAI, humanoid robot data, crypto incentives for AI.