Pentagon pressure pushes defense AI startup Smack to $61M Series B

The Pentagon wants AI on the battlefield faster, and venture capital is following the order. Austin-based Smack Technologies, which builds AI decision-making tools for the US military, announced a $61 million Series B led by Costanoa and First In on Monday, adding fresh fuel to the growing defense-AI pipeline.

The round is small in the context of frontier AI spending — but it lands at an inflection point. The Pentagon has been publicly vocal about accelerating AI adoption across logistics, intelligence, and command decision-making, yet most of the defense-AI ecosystem still consists of early-stage startups scrambling for contracts. Smack's raise signals that at least some investors believe there's a scalable product in the space — not just a government pilot. The company's CEO framed the moment as one where sovereign AI capability is becoming a national security imperative, not merely a procurement preference. That's a message that resonates in Washington right now: as allied nations race to build independent AI infrastructure, the US defense establishment is under pressure to field tools it controls end-to-end, rather than relying on commercial platforms built for consumer scale.

The bigger picture is the Pentagon's contracting rhythm. The Department of Defense has repeatedly said it wants to move AI from lab demonstrations to operational deployment inside eighteen-month cycles, not the five-to-seven-year timelines that have historically defined major defense programs. Smack's pitch — decision-support AI that operates at the edge, close to where tactical calls are made — fits that model. If the company can convert this raise into live deployments rather than PowerPoint roadmaps, it becomes a useful test case for whether defense AI can scale at the speed the Pentagon says it needs.

What to watch: Whether Smack's next milestone is a program-of-record contract or another funding round will tell you whether the Pentagon is actually buying, or just talking about buying.

Should the US treat AI-for-defense as a procurement problem or a national industrial policy? Tell us in the comments.

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Akhetonics says its all-optical CPU reaches a customer in 2026

The Week in AI — October 5–11, 2026

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Agent teams cost up to 5x more, barely score higher