Question: Do you know of any insurance solution that uses contextual and behavioral data to provide more personalized and predictive risk insights?

If you're looking for an insurance solution that uses contextual and behavioral data to offer personalized and predictive risk insights, Quanata is a good example of a full-featured platform. It combines AI-assisted modeling, real-time telematics and behavioral risk scoring to predict and prevent risks. By combining user and behavior-based data with telematics data, Quanata's solutions can help nudge people to change behavior, resulting in more accurate and predictive risk insights for both insurers and policyholders.

Another good option is ForMotiv, a behavioral analytics platform geared specifically for the insurance industry. It captures and analyzes hundreds of behavioral data points to predict user intent, reducing premium leakage and improving conversion rates. ForMotiv's platform is designed to improve agent oversight and increase ROI through real-time behavioral intent data and easy-to-understand analytics.

Cambridge Mobile Telematics also has a strong option by analyzing a massive amount of driving data from many IoT devices to understand driver behavior and vehicle dynamics. The data can be used for risk assessment, safety and claims programs to lower accidents and insurance rates. The platform is privacy-first and can be used in a variety of programs, so it's a good option for auto insurers and other mobility companies.

For a more mobile-centric option, Arity offers mobility data and analytics solutions. It uses trillions of miles of driving data to offer insights into actual driving behavior, targeted marketing programs and customized telematics experiences. Arity's platform is designed to improve profitability and productivity while protecting privacy and consumer data, and it's a good option for the auto insurance industry.