Humanoid Network

Humanoid Network is a Physical AI data platform: a text prompt in, a physics-verified robot motion out. Users describe a task in plain language and the platform generates humanoid motion files (URDF/NPZ) that drop into simulation engines like MuJoCo, Unity, and Unreal, with usage and proofs recorded on Base.

• Founded the company and operate it end to end: product, data, go-to-market, capital strategy, and operations
• Built the text-to-motion product live at app.humanoidnetwork.org: Create, Motions, and Dataset
• Built the Season 1 data engine on large-scale egocentric video collection for robot training data
• Grew a community of 210,000+ registered platform users
• Built an enterprise pipeline of 30+ signed LOIs across robotics and research organizations
• Wrote the whitepaper and designed the token model for a network where contributors are paid for the data robots learn from

Why

Every robotics team needs embodied training data. Almost none of them want to build the collection, verification, and licensing infrastructure themselves. Humanoid Network is that layer: one network for any robot and any task.