Applied Intuition is turning vehicle intelligence into defense autonomy infrastructure

Applied Intuition raised $600 million in Series F funding and tender offer at a $15 billion valuation on June 17, 2025. BlackRock-managed funds and Kleiner Perkins co-led the round, which came just over a year after Applied raised its Series E at a $6 billion valuation. The financing followed a defense-product push that moved Applied beyond automotive simulation into autonomy infrastructure for moving machines.

The defense shift was already visible before the financing. In May 2025, Applied launched Axion and Acuity for all-domain autonomy across air, land, sea, space, and the electromagnetic spectrum. Axion gives engineers and operators a shared environment to build, test, and deploy autonomy; Acuity provides onboard autonomy for unmanned systems.

Applied was founded in 2017 by Qasar Younis and Peter Ludwig. Younis previously served as chief operating officer at Y Combinator after founding a company acquired by Google; Applied says Ludwig previously helped build Android Automotive at Google. The company built its early reputation on vehicle-intelligence tools and now says it serves 18 of the top 20 global automakers and major Department of Defense programs.

EpiSci gives the defense story a technical hinge. Applied acquired EpiSci before launching Acuity, and the company says EpiSci advances have been deployed on systems including the X-62A VISTA fighter jet for autonomous air-to-air combat tests. The result is a defense stack that connects simulation tooling, onboard autonomy, and mission software rather than a single vehicle platform.

The competitive field includes Scale AI defense data infrastructure, Anduril software and autonomy programs, Palantir defense platforms, Shield AI Hivemind, autonomy stacks from primes, and internal simulation/tooling programs at major vehicle companies. Applied's distinction is dual-use vehicle intelligence: development, simulation, autonomy, and operating software for companies and programs that still own the final machine.

The proof boundary is customer-specific performance. Public material shows financing, valuation growth, product launches, acquisition context, and aggregate customer categories, but not program revenue, renewal data, deployment count, or performance metrics by defense program. Applied's strategic bet is that autonomy infrastructure becomes more valuable than any single vehicle: the software layer that lets civilian and defense machines be built, tested, updated, and deployed faster.

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