Fastlane™ Platform
Automotive AI Platform for Smart Vehicles

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

A Closed-Loop AI Platform for Smarter Vehicles

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

AI for smart engineering

Design vehicles with the data, intelligence, and in-vehicle capabilities needed to continuously improve after launch.

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

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=

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.

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.

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.