Mecka AI Approaches $500M Valuation with Sequoia-Led Funding for Robot Training Data

Mecka AI, a budding startup dedicated to gathering and analyzing human motion data for training humanoid robots and other robotic applications, is reportedly nearing a significant funding round led by Sequoia Capital. This new investment is anticipated to value the company at approximately $500 million, according to sources familiar with the negotiations.

This latest funding comes just three months after Mecka AI successfully raised $60 million in a previous round spearheaded by Framework Ventures, with additional backing from Menlo Ventures, SV Angel, and Kindred Ventures.

While exact details concerning the size of the impending round remain undisclosed, the terms are still under discussion and could potentially evolve.

Inquiries directed to Mecka AI for comments went unanswered, and Sequoia declined to provide any remarks.

Established in 2024 by a team of four entrepreneurs, including Canadians Josh Gao and Mogen Cheng, who previously founded a fintech startup focused on the restaurant sector, and Jason Chong, who transitioned to Mecka after the acquisition of his crypto exchange by Coinbase. The only non-Canadian co-founder, Duy Nguyen, oversees operations at the company.

Despite lacking direct experience in robotics, the founders identified a critical gap in physical-world data essential for the advancement of general-purpose robots, especially humanoid types. They recognized that the absence of comprehensive real-world interaction data is a main obstacle to further developments in this field.

Inspired by the term “mecha,” which denotes human-controlled giant robots in fiction, Mecka AI aims to revolutionize robotics in a manner similar to how companies like Scale AI, Mercor, and Surge have transformed data acquisition for large language models (LLMs). Mecka compensates individuals for recording daily tasks—such as brewing coffee or repairing vehicles—while utilizing body sensors and smartphones.

As of early June, Mecka projected its annual revenue run rate could reach $100 million by the end of 2026, as noted by Gao during the announcement of the previous funding round.

While the company has not disclosed the identities of its clients, it has been reported that numerous robotics firms and AI research laboratories depend on the real-world data obtained through Mecka’s “egocentric” methodology, integrated with other data collection techniques like teleoperation.

Other companies engaging in the collection of real-world data to enhance robotic training include XDOF, which is also nearing a funding round that could elevate its valuation to $1.2 billion. Moreover, various human-data platforms that extend their reach beyond LLM applications are in the mix, including Scale AI and Micro1, which recently raised funds at a valuation of $500 million.