What it sells
Mecka AI collects first-person real-world data from body sensors and iPhones and turns it into training-ready data for humanoids and other robots.
Business model breakdown
Buyer: who owns the budget?
Robotics labs, frontier model teams and enterprises deploying embodied systems.
Trigger: what makes them buy now?
Physical AI is blocked by scarce real-world data; raw video needs annotation, QA and evaluation before use.
Workflow: what inputs become what output?
Collect egocentric data (iPhone app, sensors), annotate and QA it, provide datasets (Egoverse), run model evaluations and support deployment.
Economics: what it saves and how it charges
Sells datasets, task-specific collection programs, evaluation and deployment services; raised $60M Series B led by Sequoia.
Distribution: how it reaches customers
Enterprise/research access requests, dataset partnerships; web data tools and iOS capture app.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-14 | — | $60M | — | news.google.com |
| 2026-10-09 | Series B | $60M | Sequoia (lead), NVIDIA, M12 | news.google.com |
| 2026-10-08 | Series B | $60M | — | news.google.com |
| 2026-10-08 | — | $60M | — | news.google.com |
| 2026-10-08 | — | €55M | — | news.google.com |
| 2026-10-07 | Series B | $60-million USD | Sequoia Capital (lead), Nvidia, Microsoft CVC, Qualcomm CVC, Samsung, Kindred Ventures, Framework Ventures, Neo, angels (Tony Xu, Frank Slootman, Milan Kovac) | betakit.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 2026-10-17.