Mecka AI raises $60M to train robots on human motion data
Fortune reports that Mecka AI raised $60M across two previously unannounced rounds to collect human motion data from body sensors and iPhones for robotics training.
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Mecka AI is a clean robotics-data story that fills a practical application lane. Fortune reports that the New York startup raised $60M across a $25M Series A and a $35M follow-on round led by Framework Ventures, with Menlo Ventures, SV Angel, Kindred Ventures, and Ted Xiao participating. The company collects human motion data using custom body sensors and iPhones, then works with robotics labs to integrate and train models. CEO Josh Gao argues that useful robots can be deployed now if they get better embodied data, and Fortune says the company projects a $100M annual run rate based on already signed contracts. Confidence should stay medium because customer names and valuation were not disclosed, but the story is important: robotics AI is shifting from model demos toward data supply chains for manipulation, movement, and deployment.
Key details: Mecka AI, June 1, 2026, $60M total raised, $25M Series A, $35M follow-on, Framework Ventures, Menlo Ventures, SV Angel.
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