Robotics Training Startup Mecka AI Raises $60 Million in Series B Round

Mecka AI, a startup specializing in the collection and analysis of human motion data to train robotics systems, has raised $60 million in a Series B funding round. The investment was led by venture capital firm Sequoia, with strategic participation from Nvidia, Microsoft’s venture fund M12, and other institutional backers. The company gathers real-world motion data specifically aimed at training humanoid and generalized robots.

The latest capital injection follows earlier reports indicating that the robotics data firm was negotiating new investment terms at an estimated valuation of $500 million. By enlisting individuals to record routine daily tasks—ranging from preparing coffee to vehicle maintenance—while utilizing smartphones and wearable body sensors, Mecka AI compensates participants to construct high-fidelity datasets essential for training robotic neural networks.

Founded in 2024, the enterprise operates on a business framework comparable to data-labeling platforms like Scale AI, Mercor, and Surge, which historically supplied foundational human-generated data to power large language models (LLMs). Mecka AI seeks to mirror this trajectory within the physical AI sector, addressing the critical shortage of rich, physical-interaction data required for robotic spatial intelligence.

The venture reflects an intensifying capital race among artificial intelligence infrastructure providers focused on robotics. Competing data-collection firms such as XDOF have sought major funding rounds at valuations topping $1.2 billion, while established LLM labeling firms including Scale AI and Micro1 continue expanding operations into robotic training architectures, signaling a broader market shift toward embodied artificial intelligence.