About MMX-Labs
ABOUT MMX
Intelligence where it matters.
MMX Labs is a Munich-based deep-tech company developing intelligent systems for environments where connectivity, power and human access are limited.
We combine multi-modal sensing, edge AI, resilient communication and autonomous systems to bring perception, decision-making and action directly to where data is generated.
Our technologies are designed for applications on land, in the air, at sea and in space. From distributed sensor networks to autonomous robotic platforms, MMX Labs bridges advanced research and system engineering to turn innovative concepts into robust prototypes and technology demonstrators for real-world deployment.
BUILT ON COMPLEMENTARY EXPERTISE
Founded by two professors with complementary expertise in artificial intelligence and space engineering, MMX Labs combines scientific depth with hands-on system development. We integrate sensing, machine intelligence, communication and physical systems from the beginning, creating intelligent systems rather than isolated components.
Prof. Dr.-Ing.
Markus Pietras
Co-Founder | Space Systems & Robotics
Markus Pietras is Professor of Space Engineering at Munich University of Applied Sciences. His work focuses on space systems, satellite technologies, space mechanisms and robotics, as well as advanced manufacturing technologies for space applications.
At MMX Labs, he leads the development of space and robotic systems, combining mechanical design, lightweight structures and autonomous platforms with new approaches in in-space manufacturing and deployable technologies.
Prof. Dr.-Ing. Marcin Hinz
Co-Founder | Edge AI & Intelligent Systems
Marcin Hinz is Professor of Artificial Intelligence in Mechanical Engineering at Munich University of Applied Sciences. His work focuses on machine learning for technical systems, including condition monitoring, predictive quality, computer vision and intelligent adaptive algorithms.
At MMX Labs, he leads the development of edge AI, sensor fusion and data-driven decision systems, bringing robust machine intelligence directly onto autonomous and distributed platforms.