Xtract
When a Netradyne event triggers, Xtract automatically pulls video and sensor data to build a complete incident reconstruction, giving fleets and their insurers the clear evidence they need to resolve claims faster and with greater confidence.
Features & benefits
- Automatic incident reconstruction triggered by Netradyne safety events.
- Netradyne video pulled directly into claims-ready reports with mapped incident timelines.
- Combined telematics and video evidence improves liability outcomes.
- Single portal for fleet managers combining Netradyne safety data with claims tracking.
- Driver digital reporting pre-populated with Netradyne event data for faster, more accurate FNOL.
- Richer FNOL submissions help insurers triage and settle claims faster, cutting cycle times
Explore more integrations
Voi Logistics
Voi Logistics provides centralized violation management to fleets, scraping non-moving violations and tickets from multiple municipalities and cities within the US. Voi pulls vehicle data from Netradyne to identify which vehicles to search for violations across a customer's account.
Bendix Wingman Fusion
Integrating Bendix Wingman Fusion data into Netradyne's vehicle data service empowers customers with unparalleled safety insights, contextual awareness, and performance metrics. By combining radar, camera, and braking system data from Bendix's advanced driver assistance technology, fleets gain real-time visibility into collision mitigation events and driver behavior. This integration enhances proactive risk management, supports compliance, and enables predictive analytics for safer operations. With actionable intelligence from Bendix's proven system, Netradyne customers can reduce accidents and optimize coaching all within a unified platform designed to improve roadway safety and operational efficiency.
EROAD
Drivers can automatically have their drive time captured in EROAD assigned within the Netradyne application. As Netradyne analyzes 100% of drive time, the GreenZone score and driver performance are correctly attributed to the driver based on the time spent driving in EROAD.
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