Mecka AI, a startup dedicated to advancing robotics through human motion data, has secured $60 million in a Series B funding round led by Sequoia. The round also saw participation from notable investors including Nvidia and Microsoft’s venture capital arm, M12. Founded in 2024, Mecka AI is on a mission to collect and analyze data from everyday human activities to improve the training of humanoid and various other robots.

The company’s approach involves paying individuals to record themselves performing routine tasks such as making coffee or fixing cars, while wearing body sensors and using smartphones. This data collection method allows Mecka AI to generate rich datasets that help train robots to understand and replicate human movements more effectively. This strategy positions the startup alongside other data-labeling firms like Scale AI, Mercor, and Surge, which have played key roles in the development of large language models by providing human-generated data.

Mecka AI’s recent funding comes amid increasing interest in robot training data across the industry, with other companies like XDOF also drawing significant investment and rapidly increasing valuations. The growing market underscores the importance of real-world human behavior data as robotics technology becomes more sophisticated, requiring nuanced datasets to teach robots how to perform complex tasks.

This infusion of capital will enable Mecka AI to scale its data collection efforts, enhance its analytics capabilities, and accelerate development to meet rising demand. As robotics continues to evolve, startups like Mecka AI are becoming crucial players by bridging the gap between human activity and robotic intelligence, helping machines learn in ways that mirror human experience closely.