Mecka AI nears $500M valuation in Sequoia-led round for robot training data
The startup pays people to record themselves doing everyday tasks like making coffee or fixing a car, three months after a $60M round put it at a fraction of that value.
Mecka AI is nearing a roughly $500 million valuation in a new round led by Sequoia Capital, TechCrunch reported September 11, 2026, citing two people with knowledge of the deal. Neither Mecka nor Sequoia would comment, and the size of the new round wasn't disclosed. It follows a $60 million round led by Framework Ventures, with Menlo Ventures, SV Angel, and Kindred Ventures also participating. The jump would be one of the steeper markups among the current wave of robotics-data startups.
Paying people to be training data
Mecka collects human motion data using body sensors and smartphones, then sells it to train humanoid robots and other robotics systems. People strap on sensors and record themselves making coffee or fixing a car. It is an unglamorous answer to the industry's most basic bottleneck: humanoid robots need enormous volumes of real-world physical-task data that no dataset holds yet. Co-founder Josh Gao previously told Fortune the company was projecting a $100 million annual run rate by the end of 2026.
Why data-collection startups command lab-scale valuations
A five-fold-plus valuation jump in roughly three months for a company that pays humans to perform chores says more about where robotics capital is flowing than any humanoid demo video. Model architectures for embodied AI are converging faster than the data to train them, so whoever controls a scalable pipeline of labeled physical-task data has leverage out of proportion to headcount or product maturity. If you're evaluating robotics vendors, scrutinize their data-supply claims as hard as their compute claims. Data is what gates deployment timelines right now.