Robot data startup Mecka AI nabs $60M from Sequoia
$60M. Sequoia backs Mecka AI's bet that human motion data is the bottleneck for humanoid robots.

Why it matters
A well-funded startup is tackling a real constraint in physical AI: training data. The model is pay-per-motion-capture, not model weights — a shift in how robotics startups think about data moats.
The key facts
8 to knowSequoia led $60M funding round for Mecka AI
Company model: collects human motion data, pays people to record everyday tasks
Use case: training humanoid robots and other robotic systems
Published October 7, 2026
Mecka AI raised $60M from Sequoia Capital
Business model: pays people to record everyday tasks for robot training datasets
Focus: training humanoid robots and other robot types
Date: October 7, 2026
Go to the source
TechCrunch Startupstechcrunch.com
Publisher excerpt: Mecka AI collects and analyzes human motion data to train humanoid robots and other kinds of robots. The startup pays people to record everyday tasks.