Mecka AI approaches $500 million valuation in Sequoia‑backed round as demand for robot training data surges

Funding Momentum

Mecka AI is close to securing a new financing round that values the company at roughly $500 million.

The round is being led by Sequoia Capital, according to two people familiar with the deal.

Exact terms of the financing have not been disclosed and could still change before finalization.

This infusion follows a $60 million raise announced three months earlier.

The earlier round was led by Framework Ventures and included Menlo Ventures, SV Angel and Kindred Ventures.

TechCrunch has not learned the precise size of the latest round.

Mecka AI did not respond to a request for comment, and Sequoia declined to comment.

Data Strategy for Humanoid Robots

Mecka AI was founded in 2024 by four entrepreneurs, including Canadians Josh Gao and Mogen Cheng.

The co‑founders previously built a restaurant fintech startup and one of them, Jason Chong, joined Coinbase after its acquisition of his crypto exchange.

Duy Nguyen, the only non‑Canadian founder, leads operations at the company.

None of the founders have formal robotics backgrounds, yet they identified a shortage of physical‑world data for training robots.

The startup believes that capturing real‑world human interactions is the primary bottleneck limiting the progress of general‑purpose and humanoid robots.

Mecka AI’s name derives from “mecha,” a fictional giant robot controlled by humans.

The company’s business model mirrors that of Scale AI, Mercor and Surge, which provide human‑generated data for large language models.

Mecka pays participants to record themselves performing everyday tasks such as making coffee or fixing a car.

Data collection relies on body‑mounted sensors and smartphones to capture egocentric motion streams.

By early June, the company projected an annual revenue run rate of $100 million by the end of 2026, as reported by Fortune.

Although Mecka has not publicly disclosed its customer list, many robotics firms and AI labs use its egocentric datasets alongside teleoperation data to train their models.

Competitive Landscape and Market Implications

Mecka AI is not alone in harvesting real‑world data for robot training.

Startup XDOF recently attracted a new financing round that values it at $1.2 billion.

Other human‑data platforms such as Scale AI and Micro1 are expanding beyond language models into the robotics domain.

The surge of capital into these companies reflects a broader industry rush to secure the data needed for autonomous robot operation.

Investors appear convinced that solving the data bottleneck will accelerate the deployment of humanoid and other general‑purpose robots.

Mecka’s rapid fundraising trajectory suggests that its approach to motion data is resonating with both venture capital and potential corporate customers.

If the company reaches its projected $100 million run rate, it would validate the commercial viability of large‑scale human motion datasets.

Stakeholders in robotics, from manufacturers to research labs, should monitor Mecka’s progress as a bellwether for the emerging data‑centric robot ecosystem.

Future funding rounds or strategic partnerships could further shape the competitive dynamics among data providers.

Overall, the near‑$500 million valuation underscores the market’s belief that high‑quality, real‑world robot training data is a critical asset for the next generation of intelligent machines.

Why This Matters: The valuation signals that investors see real‑world motion data as essential for unlocking the capabilities of future humanoid robots.