Scout AI raises $100M to build AI brain for unmanned warfare

A Silicon Valley AI startup just raised $100 million to build what it describes as the artificial intelligence brain for unmanned warfare.

Scout AI Inc. announced an oversubscribed $100 million Series A financing round to accelerate development of Fury, its foundation model for unmanned warfare. The round was co-led by Align Ventures and Draper Associates, with participation from Decisive Point, Booz Allen Ventures, BVVC, Neman Ventures, Evolution VC Partners, Heraclitus Capital Management, Sigmas Group, Disruptive Founders Fund, and Vaughn Capital Partners. The oversubscribed status — meaning investor demand exceeded the target — signals confidence in Scout AI’s positioning at a moment when defense AI has become one of the most contested spaces in venture capital.

Scout AI was founded 18 months ago and has already covered substantial ground. In its first year, the company booked $11 million in contracts with the Department of War, unveiled Ox — its command and control-based autonomous vehicle orchestrator — and publicly demonstrated a fully autonomous, end-to-end strike mission executed by AI agents. The company now employs a 34-person team with backgrounds spanning artificial intelligence, robotics, and national security. For a company less than two years old, that combination of government revenue, product demonstration, and technical talent represents a development tempo that most defense startups take years to achieve.

Fury, the foundation model at the center of Scout AI’s mission, is designed to solve a problem that has frustrated military autonomous systems programs for years: the gap between individual unmanned platforms that can execute specific tasks and a coordinated fleet of diverse unmanned systems that can act together in response to a commander’s intent. Fury is built for the tactical edge, enabling what Scout AI describes as layered orchestration from command and control down to unmanned systems across air, land, sea, and space domains simultaneously. The model translates commander intent into coordinated autonomous action across large, mixed fleets — not one drone, not one vehicle, but many systems of different types operating together as a coherent force directed by a single AI layer.

Collin Otis, CTO and Co-Founder of Scout AI, framed the capability gap Fury is designed to close: “The U.S. military has been promised true, one-to-many autonomy for years. Fury finally delivers it. We’re deploying this $100 million to massively scale our foundational military AI and multi-agent collaboration to extend Fury’s lead as the most capable AI foundation model for war. That compounding advantage is what makes this moment so important and why we’re moving as fast as we are. Our adversaries are sprinting and we must outpace them.”

The one-to-many autonomy concept that Otis references is the operational challenge that makes Fury’s ambition significant. Current unmanned systems generally require either direct human control — one operator per vehicle — or pre-programmed mission execution with limited adaptability. Neither model scales to the kind of large, coordinated unmanned operations that military planners envision for near-peer conflict. A commander who can direct dozens or hundreds of autonomous platforms across multiple domains through a single AI orchestration layer, with the AI translating high-level intent into coordinated action without requiring individual attention to each platform, would possess a qualitative advantage over an adversary still managing unmanned systems one at a time. Fury is Scout AI’s attempt to build that capability.

Tyrone Lee, Partner at Draper Associates, articulated the investor thesis directly: “Scout AI is exactly the company this moment demands. As uncrewed systems reshape the battlefield, advantage will go to whoever can orchestrate and command them most effectively.” That framing — orchestration as the decisive variable in unmanned warfare — reflects a view increasingly shared by military planners and defense technology investors alike. The platforms exist or are being built. The autonomy software to direct individual platforms is maturing. The missing layer is the AI that coordinates across all of them.

Scout AI’s CEO and Co-Founder Colby Adcock used the fundraise announcement to make a pointed statement about the defense AI landscape: “Some AI companies are stepping back from defense. We’re stepping up, and we’re bringing on the best engineers in the world for the mission.” The reference to companies stepping back is not subtle — several prominent AI research organizations have faced internal pressure over military contracts, and the resulting public debates have become a recurring feature of the defense technology sector. Scout AI is positioning itself explicitly on the other side of that divide, recruiting engineers who want to work on military AI and framing that choice as both patriotic and technically ambitious. Adcock added: “The most important frontier in AI is the physical world, and it should be pursued in service to the men and women who defend this country.”

The company’s self-description as “the premier frontier AI lab for war, distinct from defense primes and defense-tech neo-primes focused on manufacturing and integration” is a deliberate positioning choice. It places Scout AI in a category separate from both the large defense contractors — Lockheed Martin, Raytheon, Northrop Grumman — and the newer defense technology companies that have built businesses around hardware manufacturing and system integration. Scout AI’s singular focus is the AI layer: not the drone, not the ground vehicle, not the ship, but the intelligence that directs all of them. If that positioning holds and Fury delivers on its promise, Scout AI sits at the top of a technology stack that every unmanned platform eventually depends on.