Our development of bespoke machine learning models designed to identify and isolate the fraudulent insurance claims have a demonstrated record of success, flagging more than a billion dollars in false and/or fraudulent claims since 2024

These models can be tailored to specific industries/entities and interface with client data to identify likely fraud in those datasets. 

Our “geobinning” techniques identified an opportunity for the City of Paris to optimize their parking control procedures and realize additional revenues upwards of 100 million Euros per year.

Empirical analysis of key market, demographic, and proprietary data provides clients with more informed view of the current and future states of their business, allowing rigorous strategies for navigating opportunity, risk, and uncertainty.

Our data aggregation and modeling approach has allowed customers to increase marketing ROI, plan inventory, and identify strategic acquisitions.