Mecka AI
Records people doing everyday tasks to sell robot-training data, now also deploying robots; $128M raised
Startup · No humanoid status · Robotics leader · New York, United States · Founded 2025 · mecka.ai
- Founded 2025 · 2025 per Fortune; TechCrunch says 2024
- HQ New York · New York per Fortune; earlier reports say Toronto
- Customers · not named (1X named as an early partner)
- Valuation · not disclosed
- Headcount · not published
Also active in Canada.
Profile
Mecka AI supplies the real-world data that robot AI models learn from. It pays people to record themselves doing everyday tasks, such as making coffee, cooking or fixing cars, using its own body sensors and tactile gloves as well as iPhones, and its research lab turns the recordings into hand-pose, full-body motion and 3D data. It says it supplies several top frontier robotics labs and multiple 'Mag 7' companies, without naming them; 1X was named as an early partner in 2025. The company says its run-rate revenue passed $100M in June 2026 and projects $300M by the end of the year. It is now also positioning itself as a robotics integrator that captures data at customer sites and post-trains robots on it. The four co-founders, led by CEO Josh Gao and CTO Jason Chong, came from fintech and crypto startups rather than robotics. It has raised about $128M, most recently a $60M Series B led by Sequoia in October 2026 with NVIDIA, Microsoft's M12, Qualcomm Ventures and Samsung.
Notes Reported Fortune (June 2026) says it is headquartered in New York; at launch in August 2025 Upstarts Media described it as Toronto-based, and its job listings are in New York, the Toronto area and San Francisco. Founded in 2025 per Fortune; TechCrunch gives 2024. Revenue figures are the company's own. A $500M valuation was reported by TechCrunch while the round was being raised and is not confirmed. Also listed under robot training-data suppliers.
Also listed as a component supplier.
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Leadership
- Josh Gao, Co-founder & CEO
- Jason Chong, Co-founder & CTO
- Duy Nguyen, Co-founder & COO
- Mogen Cheng, Co-founder & CPO
Flagship products
- Human demonstration data Software
First-person motion, video and sensor data recorded by paid workers with Mecka's own body sensors, tactile gloves and iPhones, processed by its research lab into hand-pose, motion and 3D data for robot makers and AI labs - Robot deployment Software
Integration service that captures data at a customer site, post-trains robots on it and runs them
Funding and valuation
Latest round
$60M
Series B · Oct 7, 2026
Led by Sequoia Capital
Also NVIDIA, M12 (Microsoft), Qualcomm Ventures, Samsung, Kindred Ventures, Framework Ventures, Neo.
Angels include Tony Xu (DoorDash), Frank Slootman and Milan Kovac (former head of Tesla Optimus), per the company.
Total raised
$128M
As of Oct 7, 2026
$8M seed led by Neo (Aug 2025) + $60M Series A led by Framework Ventures ($25M closed Nov 2025 and a $35M follow-on, announced Jun 2026) + $60M Series B led by Sequoia (Oct 2026)
Trademarks
No US filings since 2025 (last checked ).
Source: USPTO Trademark Search, matched on the company’s legal names. Rechecked on the 1st and 15th of each month. A filing shows intent to use a name in the US, not a launched product.
Recent news
- — Raises a $60M Series B led by Sequoia, with NVIDIA, M12, Qualcomm Ventures and Samsung; says run-rate revenue passed $100M in June Mecka
- — Discloses $60M Series A in two tranches led by Framework Ventures Fortune
- — Launches from stealth with an $8M seed led by Neo Upstarts Media
Sources
- Mecka raises $60M Series B led by Sequoia Capital (Mecka) (Oct 7, 2026)
- Robot data startup Mecka AI nabs $60M from Sequoia (TechCrunch) (Oct 7, 2026)
- Mecka AI raises $60 million to train robots with human data sourced from body sensors and iPhones (Fortune) (Jun 1, 2026)
- Mecka: Creating the Data Corpus for Physical AI (Kindred Ventures) (Jun 1, 2026)
- Robotics Data Startup Mecka AI Raises $8 Million (Upstarts Media) (Aug 12, 2025)
- Careers (Mecka; roles in New York, Toronto GTA and San Francisco) (Oct 20, 2026)
Confidence: medium.