Test and Validation
AI for Smart Development
Improve quality and accelerate time-to-production.
Transform test vehicles into intelligent validation platforms with cloud-to-edge AI to accelerate validation and get to production faster.
Solution overview
The Fastlane Platform turns existing prototype and test vehicles into intelligent validation platforms. By combining AI-assisted data collection, vehicle-specific AI analysis, and edge AI execution through Fastlane Copilot, engineering teams can accelerate validation cycles, resolve issues faster, and maximize test fleet utilization.
- Capture context-rich vehicle data precisely when issues occur
- Accelerate root-cause analysis using vehicle AI and engineering knowledge
- Deploy edge AI and intelligent diagnostics into prototype vehicles
- Enable remote investigations and reduce dependence on physical vehicle access
- Continuously refine validation workflows through a closed-loop learning system
Related products
Fastlane Insight
Vehicle AI for actionable intelligence
Uncover root causes, accelerate decision-making, and continuously improve vehicles with automotive AI built for engineering, validation, and service teams.
- Vehicle-specific AI reasoning
- Cross-domain root-cause analysis
- Engineering knowledge integration
- Automated investigation workflows
- Closed-loop data, insight, and learning
Fastlane Collector
AI-assisted vehicle context
Capture the vehicle context needed to power AI-driven insight, action, and continuous improvement.
- AI-assisted collection policy creation
- Dynamic and event-driven data collection
- Historical and real-time vehicle data access
- Time-series storage and compression
- Vehicle-wide access to signals and diagnostics
Fastlane Edge
In-Vehicle AI at Scale
Deploy, orchestrate, and manage AI models, diagnostic logic, and vehicle intelligence at the edge to accelerate development, enhance quality, and continuously improve vehicles throughout their lifecycle.
- Deploy AI and software-defined intelligence
- Validate Edge AI and virtual sensors
- Enable real-time anomaly detection
- Manage fleet-wide intelligence deployment
Fastlane Copilot
Plug-In AI for Vehicle Validation
Deploy dynamic data collection, edge AI, and AI-assisted validation workflows into test vehicles without waiting for production-level integration.
- Plug-in deployment into existing test vehicles
- Integrated Fastlane Collector and Fastlane Edge
- Rapid instrumentation of prototype fleets
- Connected cloud-to-vehicle validation workflows
- Accelerated test cycles and improved fleet utilization
Related resources
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.
Testing Made Smarter: Nissan Technical Centre Europe and Sonatus Deliver Cutting-Edge AI Tools to Accelerate Vehicle Development
Cranfield, UK and Sunnyvale, Calif. – December 9, 2025 – Nissan Technical Centre Europe (NTCE) and US-based vehicle software innovator…
Vehicle AI and Diagnostics: Fixing Development Problems Before Production
In modern vehicle programs, the most expensive problems are often not the failures themselves—it’s how long it takes to manage…
FAQ
Fastlane Copilot offers a plug-in solution, comprising a hardware box pre-loaded with Fastlane Collector and Fastlane Edge. This solution can be up and running within days to assist vehicle testing rapidly without the need to integrate these software products into the vehicle E/E architecture.
In typical testing methodologies, brute force data loggers are deployed to test vehicles to attempt to capture failure scenarios, which are then painstakingly downloaded after a testing session. Unfortunately, using this approach, data is only provided after the testing is complete and the session may not have captured the relevant failure. Moreover, the cycle of learning is long, requiring follow-on driving sessions. Instead, using the Fastlane Platform, test data can be captured and streamed in real time to test engineers, even in remote locations, and testing and data capture can be rapidly adjusted even within a driving session. This approach can dramatically reduce testing costs and increase test vehicle efficiency and resolve issues in hours or days that would have taken weeks with existing approaches
Our company has strict privacy rules for our test data, will this data be exposed on a public cloud?
The Fastlane Platform is highly configurable and portable across an OEM’s preferred IT platforms and cloud providers. Sensitive OEM data is controlled by and remains the property of the OEM. The OEM can decide which IT systems and cloud solutions are used, to ensure the privacy of their sensitive testing data.
Fastlane insight serves as an optimization tool for OEM test engineers, helping them find failures, identify patterns across different subsystems, isolate the root cause, and determine corrective actions more rapidly. It bases its analysis on trusted data sources from the OEM, including complex technical manuals, service records, and other technical details, so the source of its conclusions is always thoroughly documented. Furthermore, because Fastlane Insight can incorporate information from multiple disciplines, it allows test and validation engineers to benefit from knowledge from a range of subsystems to augment their individual expertise.