Mecka
Mecka builds capture, annotation, motion understanding and evaluation tooling that turns real-world human activity into training data for robotics and physical AI teams.
Mecka operates in the data and deployment layer for physical AI. The company captures, structures and evaluates real-world human activity, turning it into datasets that robotics and AI teams use to train, evaluate and deploy robotic systems. Its technical work spans robotics, computer vision and egocentric video, motion understanding, data capture and annotation, machine learning data pipelines and model evaluation.
The product set is built around proprietary tools for capturing real-world human activity data, and annotation systems that structure raw activity into training data. Motion understanding technology converts this raw data into forms usable for training, while evaluation workflows allow robotic systems to be assessed against structured real-world data. These components feed the Mecka platform, an end-to-end data and integration layer intended to connect hardware, models and commercial ecosystems.
The company reports total funding of $68m, including a $60m Series A round. Based on signed contracts, it projects an annual run rate of $100m. Its datasets are described as large-scale and high quality, with a particular focus on egocentric human video.
Mecka was founded by a team of entrepreneurs with backgrounds in fintech and robotics. It operates across the robotics, artificial intelligence and physical AI sectors.