Embed insights into underwriting and claims processes with predictive analytics for P&C insurance. Make smarter decisions on risk selection, pricing, claims triage, and settlement.
Deliver Insights Directly Into Underwriting and Claims Processes
Rapidly build, import, tune, deploy, and monitor models through codeless configuration.
Build and Import
Build new predictive models using a variety of machine-learning algorithms such as decision trees, GLM/GAM, neural networks, and text mining. Import ready-to-use models built using third-party tools such as SAS and popular open-source data science languages like R and Python.
Deploy and Integrate
Create and deploy complex modeling solutions to endpoints that can be called through an API. Rapidly operationalize modeling solutions into underwriting and claims processes and drive adaptive workflows with codeless configuration.
Measure and Monitor
Perform model health checks and detect data and feature drifts in real time. Measure and monitor model performance and prove the business benefits. Learn continuously and adjust as business conditions evolve.
Empower underwriters and actuaries to improve risk selection, pricing, and retention while reducing expenses – setting the standard for the insurance industry.
Support Claims Management
Provide claims teams with the tools to improve operational efficiency, reserving accuracy and claims outcomes while boosting customer satisfaction.
