Soldier operating a laptop connected to a large screen displaying a battlefield map with targeting overlays and mission coordination interface.
Cross-domain mission interface used by US Army personnel to coordinate targeting and autonomous system operations. Photo: Austin Thomas/DVIDS

Commanders’ intent could be rapidly translated into coordinated, multi-domain action with Fury, a new “AI brain” for warfare by Scout AI to direct large fleets of unmanned systems across air, land, sea, and space.

Positioned as a foundation artificial intelligence model for unmanned warfare, Fury converts high-level tasking into executable actions, enabling layered orchestration from command-and-control systems to autonomous platforms at the tactical edge.

The system is framed as a form of embodied AI, linking vision and language to real-world robotic actions, while supporting collaborative autonomy through natural language-based coordination between human operators and machines.

Scout AI Chief Technical Officer Collin Otis said the system is expected to deliver “one-to-many autonomy,” allowing a single operator to manage multiple autonomous systems simultaneously.

Gemini-II | Diagram showing AI-enabled coordination of drones, aircraft, ground, maritime, and space systems across a connected multi-domain network.
Concept illustration of an onboard AI foundation model coordinating unmanned systems across air, ground, maritime, and space domains. Image: Scout AI

The approach reflects a broader shift in military technology toward large-scale autonomy, where operational advantage increasingly depends on the ability to coordinate and command distributed unmanned systems.

Recent Investment

Scout AI said it has raised $100 million in an oversubscribed Series A round to accelerate development of Fury, describing it as the largest defense-tech Series A in US history.

The round was co-led by Align Ventures and Draper Associates, with participation from multiple defense-focused investors.

“As uncrewed systems reshape the battlefield, advantage will go to whoever can orchestrate and command them most effectively,” said Tyrone Lee, partner at Draper Associates

The move mirrors similar efforts across the defense sector to build orchestration layers for autonomous systems, including platforms developed by NODA AI to synchronize mixed fleets across vendors and domains as a unified network.

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