Question: Do you know of any tool that provides real-time behavioral intent data to help insurance companies make better underwriting decisions?

For insurance companies seeking to improve underwriting decisions with real-time behavioral intent data, ForMotiv offers an insurance industry-specific platform. It uses machine learning to analyze thousands of digital behavioral data points in real-time to make accurate predictions about user intent. This can help with purchase intent, premium leakage and conversion rates.

Another tool worth mentioning is Quanata, which offers contextual risk prediction and mitigation solutions. Its AI-assisted modeling and real-time telematics help insurers understand user behavior and predict risks more accurately. This can lead to a more accurate risk assessment and underwriting process.

Cambridge Mobile Telematics also has strong solutions for auto insurance companies. By combining data from a variety of IoT devices, it offers a detailed view of vehicle and driver behavior that can be used for risk assessment and safety improvement programs. This data-driven approach can help insurers make better decisions.

For a more general view, Arity offers mobility data and analytics solutions. By collecting and analyzing large amounts of driving data, Arity helps insurers understand actual driving behavior more accurately, which can lead to more accurate pricing and better customer retention. Its solutions are designed to increase profitability and safety on the roads.