Mecka AI, a startup that collects and analyses human motion data to train humanoid and other types of robots, has raised $60 million in a Series B funding round led by Sequoia, with participation from Nvidia, Microsoft’s venture fund M12, and other investors.
It was previously reported that Mecka AI was nearing a new funding round at a $500 million valuation.
Founded in 2024, Mecka AI aims to build for robotics what Scale AI, Mercor, Surge, and other data-labelling companies have built for large language models (LLMs). These companies provide the human-generated data that AI systems use for training.
Mecka AI pays people to record themselves performing everyday activities, such as making coffee or repairing cars. Participants use smartphones and wear body sensors to capture human motion data, which the startup collects and analyses for robot training.
Meanwhile, several other startups are developing real-world data platforms for robotics. XDOF, for instance, was reportedly in discussions to raise a Series B round at a $1.2 billion valuation, according to previous reporting.
In addition, human-data platforms that initially focused on LLMs are expanding into robotics. Scale AI and Micro1 are among the companies moving into the space, highlighting growing demand for high-quality real-world training data as robotics companies work to develop more capable humanoid systems.
