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NEWS Colby Adcock’s Scout AI raises $100M to train its models for war: We visited its bootcamp

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Colby Adcock’s Scout AI raises $100M to train its models for war: We visited its bootcamp Tim Fernholz 2:45 AM PDT · April 29, 2026 At a U.S. military base in central California, four-seater all-terrain vehicles roam hillside trails. This is a training exercise, but not for the people in the vehicles: It’s an effort to train AI models to enter conflict zones.

The autonomous military ATVs are operated by Scout AI, a startup founded in 2024 by Colby Adcock and Collin Otis that calls itself a “frontier lab for defense.” The company said on Wednesday that it has raised $100 million in a Series A round led by Align Ventures and Draper Associates, following its $15 million seed round in January 2025.

Scout invited TechCrunch for an exclusive tour of its training operations at a military base it asked us not to name.

The company is building an AI model it calls “Fury” to operate and command military assets, first for logistical support, and then soon for autonomous weapons. CTO Collin Otis compares this work, which builds on existing large language models (LLMs), to training soldiers.

“[Soldiers] start when they’re 18 years old, and sometimes they even start after college, so you want to start with that base level of intelligence,” Otis told TechCrunch. “It’s useful to start with someone who’s already made an investment and then say, ‘Hey, what do I have to do to teach this thing to be an incredible military AGI, versus just being a broadly intelligent AGI?’”

Scout has secured military technology development contracts totaling $11 million from organizations like DARPA, the Army Applications Laboratory, and other Department of Defense customers. It is one of 20 autonomy companies whose technology is being used by the U.S. Army’s 1st Cavalry Division during its regular training cycle at Fort Hood in Texas, with the expectation that the unit will bring along products that prove themselves when it next deploys in 2027.

For Scout’s internal testing, the rubber meets the dirt in the base’s hilly terrain, where the company’s operations team, led by former soldiers, is putting the vehicles through their paces on simulated missions.

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Scout is turning to a newer autonomy technology: Vision Language Action models, or VLAs, that are based on LLMs and used to control robots. First released by Google DeepMind in 2023, the technology seeded robotics startups like Physical Intelligence and Figure.AI, the humanoid robot company led by Adcock’s brother, Brett.

Colby Adcock is on Figure’s board, and he says that experience convinced him of the opportunity to bring broader intelligence to the military’s growing fleet of autonomous vehicles. His brother introduced him to Otis, who was advising Figure, and they set about applying the latest in AI to military solutions.

“If I handed you the controller of a drone right now and I strapped a headset on you, you could learn to fly that thing in minutes,” Otis said. “You’re actually just learning how to connect your prior knowledge to these couple little joysticks. It’s not a big leap. That’s the way to think about VLAs and why they’re such an unlock.”

Indeed, I got a chance to drive one of Scout’s ATVs around the rutty trails, and the terrain was challenging: steep hills, loose sand on turns, disappearing tracks, confusing intersections. I’m not an experienced ATV driver, but made a fair go on my first attempt (if I say so myself). That’s the kind of general intelligence the company wants in its models, which it has been training using these ATVs for just six weeks — it started off using civilian ATVs.

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