Mecka AI Raises $60M Series B Led by Sequoia for Robot Training Data

Mecka AI has raised a $60 million Series B round led by Sequoia, with participation from Nvidia, Microsoft's venture fund M12 and other investors. The startup announced the round after TechCrunch previously reported it was nearing the deal at a $500 million valuation.

Founded in 2024, Mecka AI collects and analyzes human motion data to train humanoid robots and other kinds of robots. The company positions itself as the robotics equivalent of Scale AI, Mercor and Surge — the data-labeling companies that supply the human-generated data large language models learn from.

How does Mecka AI's model work?

The startup pays people to record themselves performing everyday tasks — making coffee or fixing cars, for example — while wearing body sensors and using smartphones. Mecka then analyzes that motion data to train robotic systems.

The approach mirrors the playbook that built the LLM data-supply industry: hire humans, capture what they do, and sell structured datasets to model developers. Robotics companies now face the same problem language model developers faced in 2022 and 2023 — they need massive volumes of high-quality real-world data to make machines act in the physical world.

Who else is chasing robot training data?

Mecka is not alone in the market for real-world robotics data.

• XDOF, another startup collecting real-world data for robot training, was in talks to raise a Series B round at a $1.2 billion valuation, according to TechCrunch's previous reporting.
• Scale AI, which built its business labeling data for LLMs, is expanding into robotics.
• Micro1, another human-data platform that started with LLMs, is also moving into the category.

The entry of established LLM data providers into robotics puts Mecka in direct competition with larger, better-capitalized players. Sequoia's backing and Nvidia's participation give the two-year-old startup capital and strategic connections — Nvidia supplies the compute and simulation platforms much of the robotics industry runs on.

What does the $500M valuation signal?

The reported $500 million valuation for a company founded in 2024 marks a sharp premium on a business whose core product — human motion recordings — depends on scalable data collection operations. Investors are effectively betting that humanoid robotics will hit the same data bottleneck that made LLM data suppliers into multi-billion-dollar businesses.

The valuation gap between Mecka at $500 million and XDOF at a reported $1.2 billion target also suggests investors are pricing differentiation in data quality, collection methods and customer relationships rather than treating robot data as a commodity.

What comes next?

The $60 million round gives Mecka the capital to expand its network of paid data contributors and deepen relationships with robot developers. The open question is whether startups like Mecka can defend their position once Scale AI and other incumbents commit serious resources to the same market — a race the LLM data business already answered in favor of scale players.