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Mecka AI is reportedly in negotiations for a new funding round at a valuation of approximately $500 million, with Sequoia Capital potentially leading the deal. The company, which collects human movement data to train humanoid robots, is seeking capital roughly three months after raising $60 million from Framework Ventures. While the exact investment amount and final terms remain undisclosed, the move signals strong investor interest in the robotics data infrastructure sector.
Mecka AI, a startup founded in 2024 by Josh Gao, Mogen Chen, Jason Chong, and Duy Nguyen, is reportedly nearing a new funding round at a valuation of approximately $500 million. According to two people familiar with the negotiations, the round could be led by venture capital firm Sequoia Capital. The exact investment amount has not yet been disclosed, and the terms of the deal have not been finalized, meaning they may still change. Mecka AI did not comment on the negotiations, and Sequoia Capital declined to comment.
The company collects and analyzes data on human movements to train humanoid robots. It pays participants for video recordings of them performing everyday and professional tasks, using smartphones and sensors to capture body movements. These activities range from making coffee to repairing cars. The resulting material helps developers train models that control robots, addressing the lack of data on human interaction with the physical world, which is identified as a key challenge in creating general-purpose robots.
If the deal closes, this new funding will come roughly three months after the company’s previous $60 million round. That earlier round was led by Framework Ventures, with participation from Menlo Ventures, SV Angel, and Kindred Ventures. In early June 2026, founder Josh Gao told Fortune that Mecka AI expects to end the year with an annualized revenue run rate of approximately $100 million. The company does not disclose its customers, but robotics developers and research labs are actively using data recorded from a human perspective.
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This funding round highlights the critical role of human movement data in advancing humanoid robotics. As the industry shifts from theoretical models to practical deployment, the quality and scale of training data are becoming key competitive advantages. Mecka AI's approach of paying participants to record everyday tasks creates a scalable that addresses a major bottleneck in robot learning. The involvement of a major venture capital firm like Sequoia Capital further validates the commercial viability of this data-centric approach to robotics, potentially accelerating the development of general-purpose robots capable of performing complex real-world tasks.
The potential $500 million valuation for Mecka AI points to growing investor interest in data for robotics. As humanoid systems advance, the scale and quality of such datasets could become some of the industry’s most important competitive factors. Mecka AI aims to build data infrastructure for robotics similar to what Scale AI, Mercor, and Surge are developing for training large language models.
The robotics industry is currently using teleoperation to gather data and test algorithms in real-world conditions, but Mecka AI's approach of capturing natural human movements offers a different perspective. This data is crucial for training models that can understand and interact with the physical world in a general-purpose manner. The involvement of Sequoia Capital, a prominent venture capital firm, further underscores the strategic importance of this sector.
Competition in the market is intensifying, with startup XDOF reportedly nearing a new funding round at a valuation of $1.2 billion. Data-collection platforms, including Scale AI and Micro1, are also expanding beyond preparing datasets for large language models into the robotics space. This competitive landscape suggests that access to high-quality, diverse human movement data will be a key differentiator for robotics companies.
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Investors should monitor the finalization of this funding round and the specific terms, including the total amount raised. Additionally, the competitive landscape is intensifying, with rivals like XDOF also seeking significant funding. The practical impact of Mecka AI's data on the performance of humanoid robots in real-world environments will be a key indicator of the sector's progress. Finally, the company's ability to scale its data collection operations while maintaining quality and participant engagement will be crucial for its long-term success.
The finalization of the funding round, including the exact investment amount and final valuation, will be a key indicator of investor confidence in the robotics data sector. Any changes in terms or delays in closing could signal shifts in market sentiment.
The practical application of Mecka AI's data in training humanoid robots will be closely watched. Success in deploying robots that can perform complex tasks using this data would validate the company's approach and potentially attract further investment and partnerships.
The competitive dynamics with other data collection platforms, such as XDOF, Scale AI, and Micro1, will be important to monitor. The ability of Mecka AI to maintain its competitive edge in terms of data quality, scale, and cost-effectiveness will be crucial for its long-term success.
The company's ability to scale its data collection operations while maintaining participant engagement and data quality will be a key challenge. As the demand for robotics data grows, Mecka AI will need to ensure that its data collection methods remain efficient and effective.