German Startup SE3 Raises $30M Series A to Advance Spatial AI for Military Drones
SE3 completed a $30M Series A led by Accel, planning to triple its team size and expand across Europe to push forward hardware-agnostic spatial AI technology for defense applications.
Munich-based AI startup SE3 has announced the completion of a $30 million Series A funding round, led by prominent venture capital firm Accel, with participation from Keen Venture Partners, Seedcamp, and Lakestar. The company specializes in developing "spatial intelligence" software for military drones and other unmanned systems, aiming to address the widespread issue of vendor lock-in in the defense tech sector.
SE3's core product fuses video and sensor data from multiple drones and ground vehicles to generate a unified 3D map of the battlefield. Soldiers can query this map using natural language, asking questions such as how to reach a target without being detected or what route is suitable for heavy vehicles. Additionally, SE3 develops AI systems embedded within the drones themselves, enabling them to navigate autonomously, detect objects, and coordinate with other drones even when GPS signals are jammed.
According to Fortune, SE3 co-founder and CEO Lukas Köstler stated that the most basic capability—GPS-free localization—has been delivered thousands of times and is "very robust," but the higher-level fleet command AI is still in early stages and requires further development over the next one to two years. Köstler previously worked on Tesla's Autopilot team and at Nvidia Research.
Unlike approaches relying solely on general-purpose large language models, SE3 uses classical computer vision algorithms to process sensor data, feeding it into a language model equipped with conventional software tools for querying. This architecture allows customers to swap in their own preferred frontier AI models as the system's "brains," thereby avoiding dependence on a single hardware vendor. Köstler noted that if drone manufacturers each control their own software stacks, customers face costly lock-in.