Mecka AI has announced a $60 million Series B round led by Sequoia Capital, with participation from Nvidia, Microsoft venture fund M12 and other investors. The startup collects data describing how people move and perform physical tasks, then uses that information to support the development of robotic systems.
The idea addresses a data problem in robotics. AI systems trained on text and images are not automatically capable of handling objects, moving safely through spaces or recovering when a task goes wrong. Developers need examples of physical action, and collecting those examples on robots can be expensive and slow.
Mecka uses sensors and phones to record human movement during everyday activities. Human data can provide scale and variety, but it has limitations: a robot’s body, joints and sensors differ from a person’s, so software must translate demonstrations into usable policies.
The company’s funding reflects investor interest in infrastructure for the wider robotics industry rather than a single robot product. The open question is whether Mecka can establish defensible data quality, secure rights to the recordings and show that its datasets improve customers’ robots in measurable, repeatable ways.