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R

Rooya

Polysurance is developing an AI-driven insurance telematics solution that utilizes 3D object detection, pseudo-LIDAR depth estimation, and driving behavior analysis to enhance risk modeling for insurers. This technology provides real-time feedback on driving performance, reduces fraudulent claims, and enables the creation of usage-based insurance products by integrating real-world driving conditions.

London, United KingdomFounded 2020385K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional insurance risk models often lack real-time data on driving behavior and environmental conditions, leading to inaccurate risk assessments and pricing. Fraudulent claims further exacerbate the problem, increasing costs for both insurers and policyholders.

Solution

Polysurance offers an AI-powered telematics solution that enhances insurance risk modeling by incorporating 3D object detection, depth estimation via pseudo-LIDAR, and comprehensive driving behavior analysis. The system uses a smartphone's camera as a dashcam to capture real-world driving conditions, providing insurers with granular data for usage-based insurance (UBI) products. By assessing risky behaviors like tailgating and lane deviations, Polysurance enables personalized risk scoring and proactive feedback to drivers, promoting safer driving habits. The platform also facilitates rapid claims processing through AI-powered collision detection, reducing fraudulent claims and operational overhead.

Target Audience

The primary target audience includes personal and commercial auto insurers seeking to improve risk assessment, reduce fraudulent claims, and offer usage-based insurance products, as well as fleet management companies aiming to enhance driver safety.

Features

  • 3D object detection and tracking of vehicles, cyclists, and pedestrians
  • Pseudo-LIDAR depth estimation to measure distances between the driver and surrounding objects
  • Driving behavior analysis, including tailgating, lane positioning, reaction times, and near-miss incident detection
  • AI-powered collision detection for automated claims processing
  • Real-time driver feedback to improve road safety
  • Cloud-based storage of driving footage with incident flagging
  • Risk modeling integration with end-to-end pricing and underwriting support
  • Mobile app (PolyCam) available on iOS for recording and cloud upload
This profile is AI-generated and may contain inaccuracies.