Mecka AI raises $60M for robot motion data

Mecka AI has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft's venture fund M12, and others. The company collects and analyzes human motion data to train humanoid robots and other kinds of robots. TechCrunch had previously reported that the startup was nearing a new funding round at a $500 million valuation.

Inside Mecka's data pipeline

Mecka pays people to record themselves doing everyday tasks, like making coffee or fixing cars, while wearing body sensors and using smartphones. 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.

Competitors and convergence

Other startups that collect real-world data for robot training include XDOF, which was in talks to raise a Series B round at a $1.2 billion valuation according to TechCrunch's previous reporting. Human-data platforms that began with LLMs are also expanding into robotics, such as Scale AI and Micro1.

— Marina Temkin, Reporter at TechCrunch

Key figures behind the raise

• $60 million Series B round
• $500 million valuation
• Founded in 2024
• XDOF: $1.2 billion valuation (in talks)

What this means for robotics data

This suggests that venture capital continues to flow toward companies building the data layer for robotics. If Mecka, XDOF, Scale AI, and Micro1 all succeed, robot developers will have multiple data suppliers to choose from, which could keep prices down.

Funding details and investors

Mecka AI announced it has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft's venture fund M12, and others.

How Mecka collects data

Mecka pays people to record themselves doing everyday tasks, like making coffee or fixing cars, while wearing body sensors and using smartphones.

Market context

TechCrunch had previously reported that the startup was nearing a new funding round at a $500 million valuation. Other startups that collect real-world data for robot training include XDOF, which was in talks to raise a Series B round at a $1.2 billion valuation according to TechCrunch's previous reporting. Human-data platforms that began with LLMs are also expanding into robotics, such as Scale AI and Micro1.

Why this funding round matters

For businesses and developers working on robotics, the availability of human motion data at scale could lower barriers to training. For consumers, better robot training data may translate into more capable robots in homes and workplaces. For investors, the round indicates continued interest in the picks-and-shovels layer of the AI ecosystem, even as questions remain about the durability of demand for robot training data. The involvement of Nvidia and Microsoft's M12 suggests that major players see value in securing access to robot training data early, though the precise implications for the broader market remain to be seen.