AI for Passenger Vehicles
Build smart vehicles that continuously evolve
Cloud-to-edge intelligence for faster vehicle development, lower lifecycle costs, and better customer experiences
Intelligence Across the Passenger Vehicle Lifecycle
The $58 Billion Problem Vehicle AI Is Built to Solve
The average root-cause investigation in vehicle development takes 17 weeks. Warranty costs across the industry reached $58 billion in 2024 – double what they were in 2012. And vehicles keep getting more complex, with more software, more domains, and more subtle interactions between systems that weren’t designed to talk to each other.
Fastlane Platform
Related resources
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FAQ
One of the benefits of the Fastlane platform is it is very flexible. OEMs can plug it in using Fastlane Copilot and be up and running within days, seeing the benefits to their testing and validation cycle. The software can also be deeply embedded in the vehicle’s architecture, which provides the benefits of flexibility and extensibility throughout the vehicle’s lifecycle. Finally, production vehicles already on the road can easily benefit from Fastlane Insight using existing OEM data sources to improve the service experience and vehicle quality.
The power of the Fastlane Platform is it takes advantage of different AI solutions both in the cloud and in the vehicle. Some types of analysis must run in the vehicle due to latency concerns, the sheer quantity of data, or data privacy issues. Fastlane Edge enables the deployment of models directly in the vehicle. In contrast, Fastlane Insight runs in the cloud to enable high performance LLMs to enable superior data analysis, while protecting proprietary OEM data. Fastlane Collector uses generative AI in the cloud to help craft customized data collection policies, which are then deployed into, reside in, and executed entirely in the vehicle.
Absolutely, Fastlane Insight is portable across any preferred cloud provider, whether public or private. Our customer engagements have successfully deployed our technologies on a range of cloud solutions.
No, a critical benefit of the Fastlane Platform, including our in-vehicle AI management solution, Fastlane Edge, is that it takes advantage of vehicle’s existing compute capabilities. A significant number of value-creating edge AI workloads do not require high-performance compute. In many cases existing compute inside typical vehicles is more than enough to allow valuable insights to be created without requiring upgrades to expensive AI or GPU solutions. Of course, if high-performance solutions are available, they can be used as well.
Yes, existing vehicles without advanced embedded software capabilities can still benefit from Fastlane Insight to improve post-sales service, vehicle quality and the customer experience. OEMs can utilize the existing data sources they have available, whether they are simple or advanced, as input to Fastlane Insight.
Absolutely. The Fastlane Platform supports data from every type of vehicle including cars, heavy trucks, passenger transportation, and more. As vehicles become increasingly connected to the internet, the rich data they generate unlocks opportunities to improve every aspect of vehicle operation, from fuel efficiency and safety to quality, fleet management and sustainability. The Fastlane Platform is built to capture and act on all of it.