What it sells
The secure training data R&D engine for physical AI
Business model breakdown
Buyer: who owns the budget?
UnverifiedRobotics/foundation model data or research leads (inferred).
Workflow: what inputs become what output?
Start from a model failure case, run side-by-side collection experiments (cameras, sensors, demonstrators), then scale the validated collection with drift checks; datasets: egocentric video, UMI bimanual (500 hours), teleoperation, tactile.
Economics: what it saves and how it charges
UnverifiedLicensed dataset sales and custom collection projects (inferred).
Distribution: how it reaches customers
Get Data / Plan a collection contact; Partner program.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.