Question: Do you know of any analytics tools that use AI-driven insights to predict claims and reduce costs for insurance companies?

ForMotiv offers a behavioral analytics platform geared specifically for the insurance industry. It applies machine learning to tens of thousands of digital behavioral data points in real-time to predict user intent and provide insights to help reduce premium leakage and improve agent oversight. With a presence in a variety of insurance markets, ForMotiv offers features like real-time behavioral intent data and seamless integration, making it a solid option for insurers seeking to improve predictive abilities.

Another contender is Quanata, which offers next-gen AI-augmented modeling and risk assessment. Quanata's platform combines contextual and behavioral risk modeling with real-time telematics to enable risk-based acquisition innovation and claims modernization. It also offers AI-augmented claim optimization and digitalization, helping insurers better forecast and manage risks.

Verisk is a longtime partner for the global insurance industry, offering a variety of tools and services to help improve the insurance value chain. From risk assessment to claims handling, Verisk uses AI-powered risk modeling and advanced analytics to help insurers navigate today's challenges and prepare for tomorrow's. Its suite of solutions spans the insurance lifecycle, which means it's a good option for insurers looking to streamline operations and cut costs.

For a more comprehensive platform, Insurity offers a cloud-based insurance software foundation infused with AI-powered insights. It supports policy, billing and claims management across the insurance lifecycle, and has a strong financial performance and market position. With awards for scalability and integration, Insurity is a safe bet for insurers looking for a comprehensive, cloud-native foundation for their operations.