SE3 Labs Launches Spatial AI Platform for Autonomous Systems
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SE3 Labs Launches Spatial AI Platform for Autonomous Systems

The Munich startup targets defence, robotics and navigation in GPS-denied environments.

6/26/2026
Ghita Khalfaoui
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Munich-based SE3 Labs has emerged from stealth with a spatial artificial intelligence platform designed to help autonomous systems understand and operate in complex physical environments. The company positions its software between raw sensor inputs and machine action, combining navigation, perception and reasoning capabilities for drones, robotic vehicles and multi-platform deployments. Its public launch comes as defence and industrial users seek systems that can operate more independently where terrain, communications and satellite navigation are unreliable.


From Sensor Data to Spatial Understanding

Rather than treating cameras, sensors and maps as separate data sources, SE3 aims to build a continuously updated three-dimensional model of the operating environment. The platform analyses terrain, elevation, objects and other points of interest, enabling machines to interpret the surroundings instead of merely following pre-programmed routes or remote commands. This creates a common spatial picture that can support decisions across aerial, ground and mixed autonomous systems.

Navigation in Contested Environments

A core part of SE3’s proposition is resilient navigation in GNSS-denied environments, where satellite signals may be unavailable, degraded or disrupted. Its systems use onboard visual-inertial odometry and real-time map matching to estimate position and adapt routes as conditions change, allowing them to continue operating without constant operator input. The company says the technology is hardware-agnostic, modular and capable of operating at the edge, which could allow it to be incorporated into existing unmanned platforms or deployed as part of a full software stack.

Natural-Language Command and Swarm Coordination

SE3 also focuses on the operator interface, using natural-language commands to translate mission intent into coordinated behaviour across multiple machines. Instead of requiring an operator to control every individual vehicle, the platform is intended to distribute tasks across a network of autonomous systems that share the same live three-dimensional understanding. The approach could reduce the complexity of managing mixed fleets while giving human operators an oversight role in environments where the speed of information processing is critical.

Early Defence Deployment

The company’s initial commercial emphasis is defence, with SE3 reporting that it is already under contract with the German Bundeswehr and participating in military exercises across Europe. According to the launch materials, the technology has been used to shorten the time from sensor detection to operational response in recent exercises, although the company did not disclose contract values or the scale of its deployments. SE3 also identifies public safety and industrial settings as potential applications for its spatial AI capabilities, suggesting a broader market beyond defence over time.

Research-Led Founding Team and Backing

SE3 was founded by chief executive Lukas Köstler, chief technology officer Simon Klenk and chief science officer Professor Daniel Cremers, bringing together backgrounds in robotics, computer vision and artificial intelligence. The team’s research credentials are central to the company’s positioning, particularly its use of three-dimensional computer vision and large language model-based reasoning to make spatial data more usable for autonomous systems. SE3 is backed by Lakestar, Seedcamp and EWOR, alongside a group of institutional and angel investors that includes the Sequoia Scout Fund, UnternehmerTUM Funding for Innovators, SDAC, Magnetic, TwinTrack Ventures and Plug and Play.


SE3’s launch reflects the growing focus on physical AI, where machines must perceive and reason about the real world rather than process text, images or isolated sensor feeds alone. Its challenge will be to demonstrate that its platform can deliver dependable performance across hardware types, operating conditions and mission-critical use cases while remaining scalable for customers. With early Bundeswehr contracts, established investor backing and a research-intensive founding team, SE3 is entering a strategically important segment of Europe’s autonomous systems market.