Production Vehicles
AI for Smart Vehicles
Embedded AI for continuous vehicle improvement
Vehicles that continuously learn, adapt, and improve through AI-powered data collection, analysis, and in-vehicle intelligence
Solution overview
The Fastlane Platform creates a closed-loop engineering system that connects vehicle data, AI reasoning, and in-vehicle intelligence. The platform helps OEMs continuously improve vehicle quality, performance, and software-defined functionality throughout the lifecycle.
- Collect context-rich vehicle data on demand
- Generate actionable engineering insights with vehicle AI
- Deploy and refine intelligent vehicle functions in production
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
- Time-series storage and compression
- Vehicle-wide access to signals, diagnostics, and logs
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
- Optimize execution across vehicle compute platforms
- Enable real-time anomaly detection
- Support self-diagnosis and predictive analytics
- Manage fleet-wide intelligence deployment
Related resources
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FAQ
Even if vehicles have other data collection solutions and the ability to update software, the Fastlane Platform offers additional compelling advantages compared to existing solutions. Fastlane Collector offers high resolution, dynamically-configurable data collection, powered by generative AI, to improve the quality and specificity of data available to OEM engineers. Fastlane Insight provides powerful analysis of vehicle data,
helping OEM engineers or service technicians to find failures, identify patterns across different subsystems, isolate the root cause, and determine corrective actions more rapidly. Fastlane Edge enables deployment of AI models directly into the vehicle to continuously monitor vehicle behavior and execute intelligence at the edge to detect anomalies, support self-diagnosis, and improve vehicle performance over time.
The Fastlane Platform has been deployed in over eight million production vehicles, in numerous end-market countries around the world and spanning dozens of different vehicle models. Using this solution, OEMs are able to continuously improve vehicle quality, performance, and software-defined functionality throughout the lifecycle
Fastlane Collector is compliant with privacy laws such as the General Data Protection Regulation (GDPR) in the EU and other standards in the US such as the California Consumer Privacy Act. Car companies typically ask drivers of modern cars to accept privacy policies based on their preferences and privacy laws in their geography. Fastlane Collector enables car companies to customize collection of personal information based on the driver’s selections as OEMs offer data products like connected services, ensuring the data collection is tailored to a driver’s wishes. Most drivers choose a mixture of privacy settings and Fastlane Collector can ensure companies can satisfy this diverse need for data privacy of personal data.
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.
Our solutions are carefully designed to be resource-efficient, and have been proven successful when deployed on top of typical automotive ECU’s without the need for high performance central compute or GPU solutions. OEMs can deploy this solution into the ECU subsystem that best suits their vehicle architecture with confidence that it can operate seamlessly while consuming modest compute resources.