Mecka AI, a startup focused on gathering human motion data for robotics training, is reportedly close to finalizing a new funding round. This round is expected to be led by Sequoia Capital and would value the company at approximately $500 million. The terms of the deal are not yet final and could still change.
This potential new financing comes shortly after Mecka AI announced a $60 million funding round just three months prior. That round was led by Framework Ventures, with participation from Menlo Ventures, SV Angel, and Kindred Ventures. The precise size of the current new round has not been disclosed.
Mecka AI was co-founded in 2024 by Josh Gao, Mogen Cheng, Jason Chong, and Duy Nguyen. The founders identified a significant lack of physical-world data as a primary obstacle for the development of general-purpose robots, including humanoids. Mecka AI addresses this by paying individuals to record themselves performing everyday tasks using body sensors and smartphones, similar to how companies like Scale AI provide data for large language models.
The demand for real-world data in robotics training is growing, with many robotics companies and AI labs utilizing 'egocentric' data collection methods. Other startups in this space include XDOF, which was recently reported to be nearing a $1.2 billion valuation, and human-data platforms like Scale AI and Micro1 that are expanding into robotics.
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Mecka AI, a startup specializing in collecting human motion data for training humanoid robots, is close to securing a new funding round led by Sequoia Capital, valuing the company at approximately $500 million. This financing follows a $60 million round three months prior, indicating rapid investor interest in solutions addressing the data bottleneck for general-purpose robotics.