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SE3 raises $30M to give military drones a shared 3D map they can take orders from

SE3 said on Nov. 12, 2026, it raised a $30 million Series A led by Accel, five months after leaving stealth, to scale spatial-intelligence software already deployed in Ukraine.

Europe's drone race has mostly been about building more airframes, the aircraft themselves. SE3 is selling the layer that makes a mixed fleet behave like one team, which is the harder software problem. Notably it keeps the language model on a leash, using it as a voice front-end while classical vision and planning do the physics. It's also another sign defense is where European AI money is moving fastest.

SE3 said it raised a $30 million Series A led by Accel. Keen Venture Partners, Lakestar, and Seedcamp also took part. A Series A is the first large private round after a seed. The company left stealth less than five months ago with a €5.5 million seed, about $6.1 million. Stealth means it was building before it talked about the product in public. It recently dropped Labs from its name. The announcement is dated Nov. 12, 2026. The amounts and the investors are SE3's, in its press release and in Accel's post. Fortune and The Next Web reported the round the same day.

The founders are chief executive Lukas Köstler, chief technology officer Simon Klenk, and chief science officer Prof. Daniel Cremers. SE3 spun out of Cremers' computer-vision lab at the Technical University of Munich, where Köstler and Klenk did their PhDs. A PhD is a doctoral degree. Computer vision is software that turns camera pictures into measurements a machine can use. A spin-out is a company that starts in a lab and then stands on its own. Those lines are the company's.

The software is platform-agnostic, which means it is not locked to one drone maker. It fuses sensor feeds from drones and ground vehicles, from different makers, into one shared 3D picture. Köstler told Fortune it is "like a mini map, how you would know it from a strategy game." It runs entirely on the edge, offline. On the edge means on the computers in the field, not on a server somewhere else. It works where satellite navigation is jammed. GPS is the satellite system phones and drones use to know where they are. One operator can command several systems by voice. Those lines are SE3's, and the map line is Köstler's, as Fortune carried it.

SE3 uses classical computer vision to build a database a person can query, and ordinary planning tools, rather than handing raw sensor data to a language model. A language model is the kind of AI that writes and chats. Query means ask it a question and get a structured answer. Actions such as takeoff can require a person to approve them. Customers can swap in the frontier model they prefer. A frontier model is one of the most capable general models. Those design choices are the company's.

The software is deployed in Ukraine. SE3 says it is working on contracts with Ukraine and with Germany's Bundeswehr, the German armed forces, and that it has shipped thousands of systems in two years. Partners include HENSOLDT, Auterion, and ERC System. It runs on Auterion's Skynode computers, the small computers Auterion puts on drones. Those lines are the company's. The thousands figure is a company count of systems shipped, not a description of what they did in combat.

SE3 plans to grow from about 40 employees to about 120, open an office in the U.K., and expand in Germany, Ukraine, and across Europe. It says civilian robotics and emergency response start in 2027. Those are plans. The 120 is not a headcount already hired.

The picture is a soldier's gloved hand on a rugged laptop showing SE3's 3D map of terrain and drone data, set up in the back of a vehicle in the field. The credit is SE3 (via Fortune).

In plain terms, a Munich startup raised $30 million, led by Accel, for software that turns a mixed fleet of drones and ground vehicles into one live 3D map a soldier can task by voice, including where GPS is jammed. It is already in Ukraine. The round does not come with a valuation or a revenue number.

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