Applications
From air and land to maritime environments and space, autonomous systems face fundamentally different operating conditions. Yet the underlying challenge remains the same: How can a system perceive its environment, understand what is happening and make reliable decisions when connectivity, energy and human supervision are limited?
MMX develops technologies that bring sensing, computing and artificial intelligence directly to the edge. Instead of relying on continuous data transmission to a central system, our approach enables systems to process information locally, identify what matters and respond to relevant events in real time.
This principle scales from a single autonomous sensor node to distributed networks and spacecraft systems. Different sensors can be combined, local intelligence can be adapted to the mission, and multiple systems can share selected information to create a broader picture of their environment.
Land
Intelligence on the Ground : Persistent. Autonomous. Discreet.
Many environments cannot be continuously monitored by people or conventional infrastructure. Remote locations, large perimeters and critical assets require sensing systems that can operate independently for extended periods.
MMX develops autonomous, low-power sensor systems that combine multiple sensing modalities with local intelligence. Instead of continuously transmitting raw sensor data, the system focuses on detecting relevant events and communicating only what matters.
Technologies
Multi-modal sensing · Edge AI · Ultra-low-power systems · Distributed networks, Secure Communication
Applications
Perimeter monitoring · Critical infrastructure · Remote areas · Security
Air
Intelligence in the Air - Detect. Classify. Respond.
Autonomous aerial systems operate in dynamic environments where decisions often have to be made faster than information can be transmitted to a remote operator.
MMX develops edge-AI capabilities for aerial platforms that enable them to detect, classify and interpret their surroundings directly on board. Combining optical, infrared, RF and acoustic sensing allows relevant events to be identified locally while reducing the amount of data that needs to be transmitted.
Technologies
Edge AI · Optical sensing · Infrared · RF · Sensor fusion
Applications
Autonomous UAVs · Aerial surveillance · Infrastructure monitoring · Situational awareness
Maritime
Awareness Across the Water: Observe. Understand. Connect.
Maritime environments are vast, dynamic and difficult to monitor continuously. Conventional surveillance systems often depend on infrastructure, connectivity or active sensors.
MMX explores distributed and passive sensing approaches that combine RF, acoustic and optical information to detect and classify activity across the maritime environment. Intelligent sensor nodes can operate independently and contribute observations to a distributed picture of the situation.
Technologies
RF sensing · Acoustic sensing · Optical sensing · Sensor fusion · Edge AI
Applications
Maritime awareness · Coastal monitoring · Vessel detection · Distributed surveillance
Space
Intelligence Beyond Connectivity: Sense. Decide. Act - on board.
Space systems operate under fundamentally different conditions. Communication bandwidth is limited, latency can matter and continuous human supervision is impossible.
MMX brings perception and decision-making directly into the spacecraft. On-board edge intelligence can analyse sensor data locally, identify relevant events and support autonomous responses without relying on continuous communication with Earth.
Our research includes infrared detection and autonomous interpretation of thermal and optical phenomena in space, extending edge intelligence into one of the most demanding operating environments.
Technologies
Infrared sensing · Optical sensing · Thermal analysis · Edge AI · Autonomous systems
Applications
Spacecraft monitoring · Autonomous detection · On-board anomaly analysis · Space robotics · OSAM