Mecka AI Secures $60M Series B Led by Sequoia
Robot data startup Mecka AI nabs $60M from Sequoia
Mecka AI, which trains robots with human motion data, raised $60M Series B led by Sequoia. The startup aims to provide robotics data akin to how LLMs use labeled data.
Source: TechCrunch — Robotics · Read original article ↗
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In Brief
Posted:
4:36 PM PDT · October 7, 2026
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.
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.
Implications for data suppliers
RoboSignal interpretation and collection questions, not statements of buyer demand.
- Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
- Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.
Source：TechCrunch — Robotics · techcrunch.com