microagi Raises $55 Million Seed Round to Power Europe’s Robotic Reindustrialisation

microagi,  deploying embodied intelligence into the operations that run the physical world, then turns what it learns there into research that compounds, led by Bercan Kilic, Nico Nußbaum, Yoan Iliev, and Anton Poletaev, has raised $55 million in seed funding, the largest seed round in German history. The round was led by Hummingbird, with participation from Northzone, LocalGlobe, Village Global, and redalpine. It comes roughly ten months after the company was founded by former Formula 1 engineers from Red Bull Racing and Mercedes-AMG Petronas. The funding will scale Atlas, the company’s data and deployment platform, across some of the world’s largest industrial companies.

The Moment.

Europe’s industrial leadership is facing pressure from declining manufacturing share, workforce aging, and higher energy costs. While China has accelerated factory automation with hundreds of thousands of robot installations, Europe’s adoption remains significantly lower, creating a widening technology gap.

Physical automation offers a path forward. As robotic systems learn from real-world deployments, improvements can scale across entire fleets, creating a compounding advantage for early adopters.

“Industrial Europe has a limited window to build its robotic edge. The lessons from AI adoption cannot be repeated in manufacturing. The workforce transition is already underway, with experienced workers retiring faster than new talent can replace them.”

What Microagi Builds?

While robotics demonstrations often showcase impressive capabilities, deploying robots reliably in real production environments remains a major challenge. Most systems reach around 95% task completion, but the final improvements required for factory-scale performance depend on plant-specific data, workflows, and edge cases.

Microagi’s Atlas platform captures high-quality operational data from live production environments, using dedicated hardware and secure infrastructure designed for training and privacy. The platform combines real-world data with simulation and model fine-tuning to adapt robots for specific manufacturing tasks. Through on-site engineering support and partnerships with companies including NVIDIA and Unitree, Microagi creates a continuous learning loop that improves robotic performance over time.

For manufacturers, this translates into lower production costs, improved operational reliability, and greater flexibility without dependence on a single robot provider or technology ecosystem.

Built on Legacy.

Europe is home to some of the world’s strongest robotics and industrial engineering ecosystems, with institutions such as ETH Zurich and the Technical University of Munich alongside major research centers from leading technology companies. This foundation provides a strong base for advancing physical AI.

Microagi has established its global research headquarters in Zurich, bringing together talent from leading universities and companies including DeepMind, Apple, and Replit. The team combines expertise across robotics, physics, engineering, and entrepreneurship, with a focus on solving complex real-world automation challenges.

Founded by Bercan Kilic, a former Formula 1 engineer at Red Bull Racing, microagi applies a performance-driven engineering mindset to robotics, building systems designed to operate reliably in demanding industrial environments.