Detecting fraud requires more than surface-level checks. Our fraud detection services combine advanced signal analysis, predictive modeling, and dark data exploration to uncover hidden patterns and suspicious behavior. From identifying incomplete Medicare claims and compliance gaps to spotting retail fraud across sales and digital channels, we use graph-based techniques and machine learning to reveal risks others miss—helping you stay compliant and secure.
Spot the Signals. Stop the Threats.
Fraud and anomaly detection is key to protecting your business and ensuring compliance. Our advanced tools uncover hidden patterns and unusual behavior—so you can act fast, stay secure, and outsmart evolving risks.
Developed a fraud detection model using medical and prescription utilization signal analysis.
Developed transactional entity analytics and knowledge graph to predict fraudulent return risks.
Used streaming IOT and Telematics data to determine unplanned and un-utilized bus stops for route optimization.
Flood and Wildfire use case risk assessments based on location, national reported and imagery data.
Fraud and anomalies often hide in plain sight. Our solutions use advanced signal analysis and machine learning to detect suspicious patterns early—protecting your business from financial and compliance risks. Contact us to find out how we can help you stay a step ahead.
We combine behavioral segmentation and geospatial analysis to deliver instant, actionable insights.
We unifiy fragmented data across systems to create accurate, connected profiles using graph-based matching, fuzzy logic, and machine learning.
We use machine learning and behavioral modeling to segment audiences, predict actions, and optimize targeting.