| CARVIEW |
Vehicle intelligence
for automotive



















































Self-Driving System (SDS)
Autonomy stacks to power the new age of intelligent vehicles
State-of-the-art technology
Achieve exceptional performance and elevate fleet efficiency and safety with the latest AD technologies tailored for a wide variety of use cases.
Robust development approach
Ensure compliance with top safety standards and regulations utilizing the latest software best practices and robust validation process and AI-powered tools.
Seamless integration
Easily integrate with new or existing vehicles. Modular software and comprehensive integration tools ensure smooth deployment across various systems and platforms.
White box collaboration
A flexible business model enables customers to develop in-house expertise, fostering innovation and differentiated features.
Vehicle OS
Deliver intelligent vehicles and meet production timelines with a Vehicle OS built for AI
Develop AI-driven consumer experiences
A high-performance software platform with clear APIs and SDKs covering the entire vehicle enables manufacturers to create new user experiences.
Accelerate development cycles
An iterative model helps automakers develop vehicle software continuously, deploy it to vehicles, and make high-quality software updates in a matter of days rather than months.
Harness the power of AI
Vehicle OS uses the latest AI technology to help manufacturers build intelligent applications and create a data engine to train ML models on fleet data.
Tools for vehicle intelligence
Move from design to start of production (SOP) up to 4x faster with the definitive toolchain
Improve software quality
Use virtual testing throughout development and validation, as well as for all vehicle software (ADAS, infotainment, body controls, etc.). Shift testing left to prevent costly issues later in development and deployment.
Accelerate time to market
Streamline development by eliminating data silos with a unified platform and by automating tasks with AI tools and agents. Move from design to SOP and release with confidence while improving quality.
Build to scale
Ingest hundreds of petabytes of data, augment with synthetic scenarios, and curate diverse scenario libraries. Use large-scale data and ML infrastructure to train advanced end-to-end AD/ADAS.
Trusted by 18 of the top 20 automakers






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