Overland AI Expands APFIT Contract to $25 Million

News related to:Overland AI · 1 min read

SEATTLE, Oct. 06, 2026 /CourierPR/ -- Overland AI, the first ground autonomy company to secure a production contract for the U.S. military, has expanded its existing agreement with the U.S. Army. The company has been awarded an additional $4.5 million through the Office of the Under Secretary of War for Research and Engineering (OUSW (R&E)), bringing the total value of the Accelerate the Procurement and Fielding of Innovative Technologies (APFIT) contract to $25 million.

This extension of the contract will support the U.S. Army’s 75th Ranger Regiment, focusing on the production and fielding of autonomous ground vehicles (AGVs) that will reinforce the Ranger’s global mission. The 75th Ranger Regiment is recognized as the world's premier direct action raid force, providing a range of capabilities not found in any other special operations or conventional force.

The rapid $4.5 million modification to the company’s original contract underscores the technology's production readiness. Overland AI’s fully integrated AGVs do not require constant teleoperation or remote control. They have proven capable of supporting a wide range of payloads and mission sets and are ready for deployment alongside warfighters at scale.

This milestone was achieved through a close partnership with Program Manager Ground Based Air Defense (PM GBAD), U.S. Marine Corps. The expanded contract builds on Overland AI's original APFIT award to produce AGVs in support of the Marine Air Defense Integrated System (MADIS). This vote of confidence in Overland AI's battlefield-ready systems reflects the wide applicability of this capability across the forces.

Founded in 2022 and headquartered in Seattle, Washington, Overland AI builds autonomous land systems to defend the United States and its allies. The company is filling a critical capability gap with off-road autonomy that takes on the tasks that put humans at greatest risk. Overland AI products span the full stack, including autonomy software, sensors and control systems that enable perception and maneuver, and in-house manufacturing to deliver autonomous assets rapidly and at scale.

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