Mecka AI Approaches $500M Valuation in Sequoia-Backed Funding Surge Driven by Demand for Robot Training Data
Mecka AI, a company focused on gathering and analyzing motion data to enhance the training of humanoid and other types of robots, is on the verge of securing new funding led by Sequoia Capital, valuing the firm at approximately $500 million, as confirmed by sources familiar with the situation.
This funding round follows closely on the heels of Mecka’s previous announcement three months ago, where it successfully raised $60 million in a round led by Framework Ventures, with contributions from Menlo Ventures, SV Angel, and Kindred Ventures.
Details regarding the size of this new funding round remain undisclosed, and the terms of the deal have yet to be finalized, indicating potential changes ahead.
Efforts to obtain comments from Mecka AI were unsuccessful, and Sequoia Capital has chosen not to provide a statement.
Founded in 2024 by four entrepreneurs including Canadians Josh Gao and Mogen Cheng, who previously launched a restaurant fintech startup, and Jason Chong, who joined Coinbase following its acquisition of his cryptocurrency exchange, Mecka AI also features Duy Nguyen, the sole non-Canadian in the founding team, who oversees operations.
The group lacks traditional robotics experience but identified a significant gap in the availability of physical-world data. They recognized that capturing authentic real-world interactions was a critical challenge hindering the development of general-purpose robots, including humanoid varieties.
Taking its name from “mecha,” referring to large, human-controlled robots in fiction, Mecka aims to achieve in the robotics field what companies like Scale AI and Mercor have accomplished for large language models. The startup incentivizes individuals to record themselves performing ordinary tasks, such as brewing coffee or repairing vehicles, using body sensors and smartphones.
As of early June, Mecka’s forecasts indicated it would reach an annual run rate of $100 million by the end of 2026, according to Gao’s comments to Fortune upon the announcement of the earlier fundraising round.
Although Mecka AI has not publicly listed its clients, numerous robotics firms and AI laboratories depend on the real-world data obtained through this “egocentric” data collection approach, in tandem with other physical data methods like teleoperation, to refine their models.
Other startups in this sphere, such as XDOF, are reportedly also on the brink of new funding rounds, with valuations reaching $1.2 billion, while platforms focused on human data collection are extending their reach beyond large language models, including Scale AI and Micro1.
