
AI-generated summary
Mecka AI was founded in 2024 to collect and analyze human motion data for training humanoid robots, following the model of data-labeling companies like Scale AI that support large language model development.
Mecka AI, a startup that collects and analyzes human motion data to train humanoid robots and other kinds of robots, announced it has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft’s venture fund M12, and others. TechCrunch had previously reported that the startup was nearing a new funding round at a $500 million valuation.
Founded in 2024, the startup intends to do for robotics what Scale AI, Mercor, Surge, and other data-labeling companies have done for LLMs. Those companies supply the human-generated data these systems learn from. Mecka pays people to record themselves doing everyday tasks, like making coffee or fixing cars, while wearing body sensors and using smartphones.
AI outlook — possibilities, not facts
Mecka AI will expand its data collection operations to include more complex industrial and service-oriented tasks beyond basic activities like making coffee or fixing cars.
Likely · Within months
Mecka AI will form partnerships with major robotics manufacturers to supply motion data for specific robot models or use cases.
Possible · Within months

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