Mecka AI, a startup focused on gathering and analyzing human motion data for training humanoid and other robots, announced a $60 million Series B funding round. Sequoia led this investment, with additional participation from Nvidia and Microsoft’s venture fund M12, among others.
Founded in 2024, Mecka AI aims to provide essential data for robotics development. The company pays individuals to record themselves performing common tasks, such as making coffee or repairing cars, using body sensors and smartphones. This approach mirrors the data-labeling model used by companies like Scale AI for large language models.
Mecka AI operates in a growing sector, with other startups like XDOF also collecting real-world data for robot training. Additionally, human-data platforms initially focused on large language models, such as Scale AI and Micro1, are expanding their services into the robotics domain.
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Mecka AI, a startup specializing in collecting human motion data to train robots, raised $60 million in Series B funding led by Sequoia, with participation from Nvidia and Microsoft's M12. This funding will support Mecka AI's efforts to provide human-generated data for robotics, similar to how data-labeling companies supply data for large language models.