What it sells
Building the Data Infrastructure layer for Physical AI.
Business model breakdown
Buyer: who owns the budget?
UnverifiedRobotics and embodied-AI teams that need training data.
Trigger: what makes them buy now?
The internet lacks enough examples of hands using tools and objects changing state for training robots.
Workflow: what inputs become what output?
Capture real physical tasks with egocentric RGB, stereo depth, IMU and tactile gloves; post-process into depth, hand pose, camera trajectory and action labels; deliver with calibration, manifests and review UI.
Distribution: how it reaches customers
Direct outreach via Build a dataset / team@ email; public sample viewer.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.