Eyebrow Text
Fastlane™ Insight
Vehicle AI for Actionable Intelligence
Uncover root causes, accelerate decision-making, and continuously improve vehicles with AI built for engineering, validation, and service teams.
Fastlane Insight transforms vehicle data into actionable intelligence using vehicle AI, engineering knowledge, and vehicle context.
Vehicle AI reasoning
Apply vehicle-specific AI to understand vehicle behavior, correlate information across domains, and accelerate issue investigation.
- Vehicle AI agents
- Cross-domain correlation
- Root-cause analysis
- Causal chain reconstruction
- Engineering knowledge integration
- Explainable AI reasoning
- Fleet-wide pattern detection
- Diagnostic expertise scaling
Unified vehicle intelligence
Combine vehicle data, diagnostics, logs, engineering documentation, and historical investigations into a single intelligence layer.
- Vehicle data and diagnostics analysis
- Log and trace analysis
- Engineering document understanding
- ODX and service information integration
- Historical issue and investigation search
- Structured vehicle knowledge graph
- Cross-source information retrieval
- Unified vehicle context
Closed-loop AI orchestration
Coordinate data collection, analysis, and remediation workflows across the Fastlane Platform.
- AI-assisted data collection requests
- Historical vehicle context retrieval
- Dynamic context expansion
- Automated evidence gathering
- Human-in-the-loop workflows
- Investigation lifecycle management
- Remediation workflow creation
- Action tracking and governance
Continuous learning & fleet intelligence
Capture knowledge, identify emerging patterns, and continuously improve future investigations and vehicle outcomes.
- Knowledge capture and reuse
- Pattern library generation
- Emerging issue detection
- Fleet intelligence and trend analysis
- Investigation outcome tracking
- Organizational knowledge retention
- Cross-program knowledge sharing
- Continuous improvement feedback loops
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.
AI Vehicle Diagnostics: Revolutionizing Vehicle Development and Time to Market with an AI Technician
The process of diagnosing and debugging vehicles is a critical area that can benefit greatly from AI-driven optimization. Modern vehicles are more complex than ever, with some containing as many as 1,400 computer chips, so empowering both vehicle engineers during the pre-production phase and automotive repair service technicians post-production can deliver significant benefits to car makers and consumers alike.
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 Insight is a capability provided to vehicle OEMs to improve their capabilities in design, analysis, validation, and diagnostics. OEMs have the freedom to use this technology in ways that are appropriate to their needs. Some OEMs may choose to use it entirely internally within their engineering design workforce. Others may expose portions of it to their service centers to improve the diagnostic experience. OEMs retain full control to manage how this capability is used in their fleet.
Fastlane Insight runs in the cloud to enable high performance LLMs that enable superior data insights, while protecting proprietary OEM data like technical manuals, service records, fleet-wide analysis, and more.
Absolutely. Fastlane Insight is portable across any preferred cloud provider, whether public or private. Our existing customer engagements have successfully deployed our technologies on a range of cloud solutions.
Fastlane Insight is different in many important ways. First, typical off-the-shelf AI platforms will not have access to proprietary OEM information, which could be disadvantageous to expose to public AI platforms. Second, generic AI platforms are typically unable to correctly interpret and process complicated technical manuals, service records, and other technical details. The Sonatus approach and our custom, vehicle-specific models are able to correctly interpret this complicated information, which provides a superior result.
Yes, existing vehicles without advanced embedded software capabilities can still benefit from Fastlane Insight to improve post-sales service, vehicle quality, and customer experience. OEMs can utilize the existing data sources they have available, whether they are simple or advanced, as input to the analytics of Fastlane Insight.