Mecka builds the data and deployment infrastructure that helps robotics and physical AI systems learn from real-world activity and move from laboratory demonstrations into practical settings. Rather than manufacturing robots, the company integrates hardware, AI models, and commercial partners, providing the data and systems layer that connects them. Its work addresses challenges such as noisy real-world tasks, the need for annotated and evaluated training data, and the gap between laboratory testing and field deployment.

Mecka captures, structures, and evaluates human and robot activity to create task-specific datasets. Its capabilities include data collection, annotation and quality workflows, motion understanding, and evaluation against real environments and constraints. The company’s Egoverse is a large-scale dataset of first-person human interactions across tasks and settings, designed to support robot learning. Teams can access a mobile app for collecting data, web-based tools for browsing and analyzing datasets, and inference APIs. Mecka also offers enterprise evaluation and deployment support, commissioned data collection, dataset access, and research partnerships.