Supporting insurance companies with technical anti-fraud measures - especially through machine learning procedures, maintenance and further development of anti-fraud tools and functionalities, predictive modeling and anomaly detection.
What is the Problem
It is the responsibility of insurance companies to investigate claims for fraud. Relevant data that is available for this purpose is usually kept in isolated data islands, which massively impairs effective search and analysis.
Insurance providers need a solution where they can store all related structured and unstructured data. They need to detect fraudulent claims and identify anomalies. They need an intuitive user interface which is adapted to their way of working to run their analysis processes. They finally need a secure way to publish the information within their organization.