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Fastlane™
Collector
AI-assisted vehicle context
Capture the vehicle context needed to power AI-driven insight, action, and continuous improvement
Capture the right vehicle context
Collect precise, contextual real-time and historical vehicle data when and where it matters most.
Accelerate AI-powered insights
Query historical and real-time vehicle data, providing immediate access to the context needed for analysis and decision-making.
Maximize the value of vehicle data
Preserve context with integrated time-series storage and compression that reduces cost.
Fastlane Collector delivers AI-assisted vehicle context through dynamic data collection and a queryable vehicle data layer.
AI-assisted data collection
Create and deploy targeted data collection policies using natural language and Generative AI, enabling teams across the organization to access vehicle data without requiring deep vehicle architecture expertise.
- Generate collection policies using natural language
- Automatically identify relevant signals and diagnostics
- Deploy lightweight policies without software updates
- Manage campaigns across millions of vehicles
- Dynamically adjust collection scope, duration, and resolution
- Support multiple teams and use cases simultaneously
- Merge and prioritize policies across the fleet
- Fine-tune AI-generated policies for accuracy and control
Queryable vehicle context
Access historical and real-time vehicle data on demand enabling engineers, analysts, and AI agents to retrieve exactly the context needed for diagnostics, validation, and continuous improvement.
- Query historical in-vehicle data remotely
- Access real-time vehicle signals and system state
- Retrieve data directly from vehicle-resident time-series storage
- Enable AI agents to access vehicle context autonomously
- Correlate signals, diagnostics, logs, and network events
- Reduce the need for new collection campaigns
- Accelerate root-cause analysis and engineering investigations
- Support fleet-wide analysis and targeted retrieval
Vehicle data storage and management
Store, manage, and access vehicle data efficiently with integrated time-series storage, compression, and flexible retention capabilities.
- Built-in vehicle time-series database (TSDB)
- Time-series compression with up to 28× reduction in data payload size
- Vehicle-resident historical data storage
- Configurable data retention policies
- Weeks or months of historical vehicle context
- Local and cloud storage options
- Long-duration trend analysis support
- Optimized storage and transmission management
Context-aware vehicle data access
Capture and access virtually any vehicle data source using precise, event-driven collection across domains, platforms, and E/E architectures.
- CAN and Ethernet signals
- ECU diagnostics and DTCs
- Vehicle logs and trace files
- Media and image captures
- Network statistics
- Signal, diagnostic, geofence, and schedule-based triggers
- User-defined and third-party events
- Standards-based integration across vehicle platforms
Go Under the Hood: Fastlane Collector Deep Dive
Fastlane Collector is a dynamic, cloud-managed data collection framework currently deployed in millions of production vehicles. It allows automotive engineers to capture precise vehicle signals in real-time without requiring software updates or complex recoding. By using a “policy-based” approach, it balances the need for deep technical insight with the practical constraints of data storage and transmission costs.
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.
Red Hat In-Vehicle Operating System & Sonatus Data Collector for Gateway ECUs
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments.
Maximizing the Value of Vehicle Data
Improved connectivity capabilities for vehicles have expanded proficiency in the gathering and use of telemetry data produced by in-vehicle components, controllers, and sensors. This data is essential in the evolution of software-defined vehicles; its insights empower OEMs to fuel continuous innovation and feed new revenue models enabled by software.
FAQ
The reality is that the vast amount of data available in most cars today is never used, and unused data does not enable automotive innovation. As cars increasingly become connected devices, delivering the capabilities demanded by modern consumers requires more advanced data collection. Fastlane Collector empowers OEMs to ask targeted data questions of their vehicles and adapt them quickly and easily over time as needs evolve. This delivers superior efficiency, reduces wasted data being uploaded that will never be used.
Fastlane Collector is compliant with data privacy laws such as the General Data Protection Regulation (GDPR) in the EU and other standards in the U.S. such as the California Consumer Privacy Act (CCPA). Car companies typically ask drivers of modern cars to accept privacy policies based on their preferences and the privacy laws in their geography. Fastlane Collector enables car companies to customize the collection of personal information based on the driver’s selections, and makes it possible for OEMs to offer data-driven 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 satisfy this diverse need for privacy of personal data.
Ensuring privacy is paramount, and Fastlane Collector only gathers data types approved by the driver. Whether location, vehicle performance, sensor data, or other vehicle data, data handling complies with a vehicle owner’s individual preferences. In fact, the ability to protect all this data in a customized fashion is a key benefit vehicle manufacturers can use to reassure buyers of their data privacy. Drivers and companies may also choose to enable aggregated personal data that removes their most sensitive personal information while still enabling automotive innovation and enabling solutions for analyzing data.
Data is used in modern vehicles for many benefits. Autonomous driving and advanced driver assistance systems (ADAS) are growing consumers of vehicle data, used to improve safety and avoid driver fatigue. In fact, some ADAS safety features are required in new vehicles, enabling car manufacturers to make cars safer. Fastlane Collector can support the development and tuning of ADAS systems using superior data from multiple sensors in the vehicle but it does not directly provide ADAS or autonomous driving capabilities, which are offered by many other companies.
Sonatus is not a data broker.Fastlane Collector enables car manufacturers to provide capabilities and services in their vehicles. The car manufacturer and drivers have full control over the data collected, consistent with privacy policies and privacy laws that give drivers and consumers confidence in how the companies will use their personal data. Also, unlike traditional telematics solutions, Fastlane Collector enables companies to dynamically adapt the types of data collected from sensors, configure the data resolution and capture frequency, and decide if the car’s computers should process the data locally or upload it to the cloud.
Yes. Fastlane Collector supports data from every type of vehicle including cars, heavy trucks, passenger transportation, and more. As vehicle increasingly become connected to the internet, they create opportunities for companies to improve every aspect of vehicle operation from fuel efficiency, quality, and safety, to fleet management and sustainability.