Applied Intuition Self-Driving System and ADAS Toolchain

Applied Intuition is a vehicle software company founded in 2018 and headquartered in Sunnyvale, California, led by co-founders Qasar Younis and Peter Ludwig. It has more than 1,000 engineers and offices in the US, UK, Germany, Sweden, India, South Korea and Japan, and builds software for cars, trucks, mining, construction, agricultural and defense machines.

Its offering combines a Self-Driving System, a unified autonomy stack that scales from partial driver assistance in passenger cars to driverless operation, with Tools for Vehicle Intelligence for developing and validating ADAS and automated driving. The toolchain ingests petabyte-scale fleet data, curates and labels segments, and runs neural reconstruction, sensor simulation and large-scale scenario testing in the cloud, on-premise or air-gapped. Vehicle OS and the Dana agentic platform complete the stack for OEMs such as Toyota, Stellantis, Honda and Nissan.

• Self-Driving System: unified autonomy stack from driver assistance to driverless operation.
• Data engine: ingestion, curation and labeling of petabyte-scale sensor data.
• Simulation: neural reconstruction, sensor models and ML behavior agents for edge cases.
• Validation workflows: SIL and HIL testing with traceable metrics for safety cases.
• Flexible deployment: SDK workflows on cloud, on-premise or air-gapped environments.
• Vehicle OS: in-vehicle operating system for software-defined vehicles.

Vietnamese EV makers developing in-house ADAS can use the toolchain to validate features in simulation before road testing. Automotive software service firms in Vietnam can adopt the platform for OEM validation projects. Mining and construction equipment operators can evaluate autonomy for haul trucks.

Engineering teams can test scenarios and sensor interactions in simulation that are impractical or risky on real roads, and run tens of thousands of scenarios in parallel in the cloud. Continuous integration and regression testing reduce rework and shorten development cycles, as described in the Toyota case study. One stack serves both ADAS and driverless programmes, so OEMs reuse data and tools across vehicle lines.

Automakers are shifting to software-defined vehicles and adding L2+ assistance to more models, while regulators require stronger evidence that ADAS works across many scenarios. Simulation-first validation and shared data tooling are becoming standard, and Asian OEMs in Japan and Korea are partnering with toolchain vendors to speed programmes that later reach Southeast Asian markets.

Founded in 2018 and headquartered in Sunnyvale, California, with offices in Washington D.C., London, Stuttgart, Munich, Stockholm, Gothenburg, Bangalore, Seoul and Tokyo. Customers and partners shown include Toyota, Porsche, Stellantis, Volkswagen, Honda, Nissan and Komatsu, plus an autonomous trucking project with HUMAIN in Saudi Arabia.