Fastlane™ Platform
AI Platform for Smart Vehicles

The Fastlane Platform enables vehicles to continuously learn, adapt, and improve through cloud-to-edge vehicle AI.

A closed-loop AI platform for smart vehicles

The Fastlane Platform transforms vehicle data into intelligent action through an AI-orchestrated cycle of observation, analysis, action, and learning.

Three paths to deploy the Fastlane Platform

Test and Validation

AI for smart development

Transform prototype and test vehicles into intelligent validation platforms that accelerate learning and reduce validation effort.

  • Connect test fleets to cloud-to-edge AI workflows
  • Collect precise vehicle context for investigation and validation
  • Validate vehicle functions in real-world conditions before production

Production Vehicles

AI for smart vehicles

Embed AI directly into production vehicles, turning real-world operation into continuous intelligence and ongoing improvement.

  • Add intelligence to vehicle architectures
  • Learn from real-world vehicle behavior and fleet performance
  • Deploy AI models, virtual sensors, and diagnostic intelligence into production vehicles

After-Sales Service

AI for smart diagnostics

Apply automotive AI to diagnose issues faster, scale engineering expertise, and improve service outcomes across the fleet.

  • Accelerate root-cause analysis and issue resolution
  • Reduce warranty, recall, and service costs
  • Continuously improve diagnostics through fleet-wide learning

Related resources

What’s the progress of AI and SDV in 2026?

In a live recording from COVESA all-member meeting in Porto, Portugal, John and Omdia analyst Maitê Bezerra discuss the 2026 SDV survey, which reveals the industry expects to reach SDV level 3 by 2030. Key findings highlight a shift toward data-driven value creation and predictive maintenance, though organizational readiness still lags behind technology deployment by several years.
Learn more

How Nissan is Accelerating its Vehicle Development Cycle with Sonatus

In this podcast episode, Engineer for e-Planning, Coding and Cybersecurity Sarah Dorey of Nissan Technical Center Europe (NTCE) explains how NTCE is using Sonatus AI Technician and Collector AI to transition from manual, on-site vehicle validation to a remote, AI-driven workflow. This digital transformation has significantly boosted efficiency by allowing global teams to collaborate in real time and reducing root-cause investigation times from two weeks to just two days.
Learn more

How are AI and SDVs Reshaping the Supply Chain?

Recorded live at CES 2026, John Heinlein and Valeo’s Derek De Bono discuss how Software Defined Vehicles (SDVs) are revolutionizing the industry through hardware-software decoupling and continuous AI-driven updates. Their conversation highlights the shift toward partnership ecosystems and predicts that SDVs will redefine vehicle longevity, business models, and the path to Level 3 autonomy before 2030.
Learn more

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.
Back To Top