Reborn dey use DePAI plus Crypto Rewards to gather better motion data for Humanoid Robots through crowdsourcing

Reborn DePAI don dey build one vertical integrated stack wey dey address di biggest bottlenecks for humanoid robot development: di lack of large-scale, high-quality real-world motion data. Dem get consumer-grade motion-capture kit called ReboCap wey dey turn gamers and streamers into data miners, dem dey feed millions of precise movement sequences into one unified simulation layer wey dem call Roboverse. By coupling dis crowdsourced data with multimodal simulator, di company fit train di Reborn Foundation Model (RFM), one of di first foundation models for embodied AI. Di company don ship 5,000 ReboCaps already, get 160,000 monthly active users, and dem dey target two million by year-end—all dis without any token incentives so far. Once token launch, dual rewards from Reborn and robot makers go fit speed up network growth, make DePAI flywheel tight pass. Early pilots with Galbot and Noematrix plus partnerships with Unitree, Booster Robotics and others dey validate market demand. As hardware costs dey fall, competitive edge go shift to data and models; Reborn’s low-cost, scalable, and modular data pipeline position am to become core infrastructure provider for physical AI. For crypto traders, di token launch fit open exposure to one high-growth niche wey dey inside humanoid robots, AI, and decentralized networks.