Mecka AI, a startup focused on gathering and analyzing human motion data to enhance the training of humanoid robots and other robotic systems, is nearing a new financing round led by Sequoia Capital with a valuation around $500 million. This potential investment follows a $60 million raise just three months earlier, led by Framework Ventures with participation from Menlo Ventures, SV Angel, and Kindred Ventures. The exact size and terms of the new round have not been finalized.
Founded in 2024 by four entrepreneurs without prior robotics experience, Mecka AI identified a significant gap in physical-world data as a major obstacle to advancing general-purpose robots. The company collects egocentric data by paying individuals to record themselves performing everyday activities using body sensors and smartphones. This approach aims to provide the real-world interaction data necessary to train more capable humanoid robots.
Mecka AI’s name is inspired by "mecha," a term for giant robots controlled by humans in fiction. The startup aspires to replicate the success of data companies like Scale AI and Surge, which have supported the development of large language models by supplying human-generated data.
While Mecka AI has not publicly disclosed its client base, its data collection methods are used by numerous robotics firms and AI laboratories to build and refine their models. The company projected an annual revenue run rate of $100 million by the end of 2026, according to statements made earlier this year.
Mecka AI operates in a competitive landscape that includes other startups such as XDOF, which is reportedly approaching a $1.2 billion valuation, as well as established human-data platforms like Scale AI and Micro1 that are expanding their focus beyond language models to robotics data.