Safeguarding Fleets with AI-powered Vision
Empower fleets. Differentiate your offering. Unlock new revenue.
Trusted by industry leaders, proven by results
Peregrine Vision gives Telematics Service Providers the edge they need to lead in a rapidly evolving market. From reducing fleet accidents with real-time risk assessment to turning geospatial data into profitable insights, we help you deliver next-gen solutions that reduce accident rates, claims costs and data traffic —while opening new revenue streams for your business.
Transform fleet video into an operational advantage
Safer driving with AI
Truly reducing claim, repair and downtime costs
New revenue potential
Geospatial data is underutilized and under-monetized by TSPs
Better UX, fewer videos
Your customers don’t need more videos—they need relevant insights
Elevate your offering
AI is a game changer in Video Telematics – go beyond object detection
Vision-based safety: on the road and in the cabin
Driving score for coaching & bonus programs
The smartest driving score algorithm in telematics, providing an accurate analysis of driving behavior in every kind of driving scenario. Recognizing safe driving and incentifying drivers has a positive effect on claim management expenses.
Unlock new revenue streams with real-time geolocation intelligence
Our advanced SLAM technology captures high-value geospatial data, turning every mile driven into actionable insights for monetization.
Your choice of AI Dashcams
Easy, plug and play API integration into your dashboard
Market entry solutions
Fast time-to-market with crash detection
High value AI solutions
Fast time-to-market with Visual Intelligence
Custom-made AI solutions
Your own solution with Peregrine Vision
Peregrine Vision: AI for the real world, from edge to cloud.
At the heart of Peregrine Vision is artificial intelligence designed to transform cameras into smart perception systems. Combining advanced neural networks, edge processing, and adaptive learning, our proprietary AI models and data infrastructure deliver results you can trust.
Data privacy is our priority
Video data contains personal information such as faces and license plates. Peregrine’s technology automatically anonymizes information at the petabyte scale before storing traffic scenes. This differentiates our technology from common dashcams or other video solutions.
Frequently asked questions about Peregrine Vision
What types of data can Peregrine Vision capture beyond video?
Peregrine Vision captures more than just video footage. Our system collects geospatial metadata, vehicle dynamics, environmental context, and event-based triggers such as road conditions, traffic patterns, and asset locations. This multi-layered data is processed to deliver actionable insights for safety, compliance, and monetization.
Can Peregrine Vision operate in low-connectivity environments?
Yes. Peregrine Vision is optimized for edge processing, meaning critical data analysis happens locally on the device, minimizing reliance on constant connectivity. When the connection is restored, the system syncs seamlessly with the cloud to update insights without data loss.
Is Peregrine Vision compatible with both commercial and consumer-grade hardware?
Absolutely. Peregrine Vision is hardware-agnostic, designed to integrate with a wide range of devices—from aftermarket dashcams to OEM-grade systems. Our flexible API allows for seamless deployment across various hardware configurations.
How does Peregrine Vision handle edge-to-cloud data transfer efficiently?
Peregrine Vision uses advanced data compression and prioritization algorithms to reduce bandwidth usage. Only the most relevant insights are transmitted to the cloud, significantly cutting down on costs and latency while maintaining data integrity.
How scalable is Peregrine Vision for large fleets?
Peregrine Vision is designed for enterprise-grade scalability. Whether you’re managing hundreds or hundreds of thousands of vehicles, our infrastructure handles data processing, storage, and insights delivery with consistent performance.
Does Peregrine Vision require additional sensors beyond cameras?
While Peregrine Vision is optimized for camera data, it can also integrate with other vehicle sensors such as GPS, IMU (Inertial Measurement Units), and CAN bus data. In fact, in most instances, it can replace the need for a GPS altogether. This multimodal approach enhances accuracy in areas like localization, driver behavior analysis, and environmental detection.
How quickly can Peregrine Vision be deployed across a fleet?
Deployment timelines vary depending on fleet size and integration complexity. However, thanks to our plug-and-play API architecture and hardware flexibility, most telematics providers can achieve full deployment within a matter of weeks, not months.
How does Peregrine Vision support data monetization for telematics providers?
Beyond safety insights, Peregrine Vision enables telematics providers to monetize geospatial data through our Data-as-a-Service (DaaS) model. This includes localized road conditions, traffic patterns, and infrastructure insights that can be sold to industries like logistics, urban planning, and navigation services.
How customizable is Peregrine Vision for specific fleet requirements?
Peregrine Vision offers modular features that can be tailored to meet specific fleet or industry needs. Telematics providers can choose from a suite of AI models, adjust event thresholds, and customize reporting formats through our API.
Does Peregrine Vision support over-the-air (OTA) updates?
Yes. Peregrine Vision supports secure over-the-air updates for firmware, software, and AI model improvements. This ensures fleets always have access to the latest features, performance enhancements, and security patches without manual intervention.
Can Peregrine Vision detect non-vehicle-related assets like pedestrians or road infrastructure?
Yes. Peregrine Vision’s advanced computer vision algorithms detect and classify a wide range of objects, including pedestrians, cyclists, traffic signs, construction zones, and other roadside infrastructure—enhancing both safety and geospatial data accuracy.