Mecka AI Raises $60M Series B Led by Sequoia to Build Robot Training Data Platform

Mecka AI, a startup that collects human motion data to train humanoid and other robots, announced in October 2026 that it has raised a $60 million Series B round led by Sequoia. Nvidia and Microsoft’s venture fund M12 also participated in the round. TechCrunch had previously reported the company was nearing new funding at a $500 million valuation.

Founded in 2024, Mecka pays people to record themselves performing everyday tasks — such as making coffee or fixing cars — while wearing body sensors and using smartphones. The company then collects and analyzes that motion data to supply robot training systems.

The startup’s model mirrors what data-labeling companies like Scale AI, Mercor, and Surge have done for large language models, providing the human-generated data these systems learn from. Mecka aims to apply that same approach to robotics.

The company is not alone in the space. XDOF, another startup collecting real-world data for robot training, was in talks to raise its own Series B at a $1.2 billion valuation, according to prior TechCrunch reporting. Platforms that originally focused on LLM data, including Scale AI and Micro1, are also expanding into robotics.

The funding suggests growing investor appetite for the infrastructure behind robot development, particularly platforms that generate the physical, real-world data humanoid robots require to learn tasks that are difficult to simulate.