Mecka AI, a startup founded in 2024, has raised $60 million in Series B funding led by Sequoia, with participation from Nvidia and Microsoft's M12. The company collects and analyzes human motion data to train humanoid and other robots, positioning itself as a robotics analogue to data-labeling companies like Scale AI that powered LLMs.
Mecka pays individuals to record themselves performing everyday tasks—such as making coffee or fixing cars—while wearing body sensors and using smartphones. This real-world data is meant to help robots learn physical skills, a market that is drawing increasing attention as investors look beyond text-based AI.
The round matches TechCrunch's earlier reporting that Mecka was nearing a funding round at a $500 million valuation. It also highlights a crowded field: XDOF was reportedly in talks to raise a Series B at a $1.2 billion valuation, and LLM-focused data platforms like Scale AI and Micro1 are expanding into robotics.