Applied Intuition is a Software & AI Platforms company founded in 2017 and based in Mountain View, United States. It has raised $1.2B in total funding, most recently a Series F in 2025 at a $15B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jun 1, 2025 | Series F | $600M | $15B | BlackRock, Kleiner Perkins |
| Mar 1, 2024 | Series E | $250M | $6B |
| Lux Capital, Elad Gil |
| Nov 1, 2021 | Series D | $175M | $3.6B | Elad Gil |
| Aug 1, 2020 | Series C | $130M | $1.3B | Lux Capital |
| Sep 12, 2019 | Series B | $40M | — | General Catalyst |
| Sep 1, 2018 | Series A | $11.5M | — | Andreessen Horowitz |
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Unified simulation, data management, and validation toolchain for ADAS and autonomous system development used by automotive OEMs and defense programs. Enables engineering teams to build, test, and certify autonomy stacks at scale across simulation and real-world scenarios. Deployed across Army ground vehicle and Navy autonomous programs alongside commercial automotive customers.
End-to-end autonomous driving stack combining a unified neural architecture with white-box transparency and a continuous data engine. Hardware-agnostic; integrates across sensor suites, compute platforms, and vehicle architectures for passenger and military vehicles. Designed to achieve human-like driving behavior and scalable validation for OEMs and defense autonomy programs.
Data management system that automatically extracts and indexes metadata from sensor logs, enabling large-scale search, curation, and scenario mining across petabytes of real-world and simulation data. Foundational infrastructure for model training and fleet-wide safety analysis; used by automotive OEMs and defense autonomy development teams.