Transforming Insurtech with
In-Vehicle AI
This case study highlights how MOTER Technologies partnered with the Sonatus AI Director platform to embed advanced driver risk modeling directly within vehicles.
This collaboration enables a dynamic, personalized insurance model that moves beyond traditional factors like age or ZIP code to focus on real-world driving behavior.
Learn how MOTER and Sonatus are making connected vehicles safer and more insurable by design by:
- Richer Data: Access to high-fidelity vehicle sensor data and non-traditional indicators like following distance and driver distraction.
- Real-Time Coaching: Enables continuous risk assessment and personalized driver feedback without relying on constant cloud connectivity.
- Security & Privacy: Uses containerized execution to protect proprietary algorithms and keeps sensitive behavioral data within the vehicle, aiding GDPR/CPRA compliance.
- Cost Savings: Reduces data transmission and cloud processing costs for OEMs by executing models at the edge.
- Scalability: Sonatus provides a unified, flexible deployment framework for rapid integration across diverse vehicle lines and ECU environments.
