An advanced, automated fraud detection system designed to identify and prevent fraudulent insurance claims in agricultural portfolios.

The platform leverages satellite imagery, climatic data, and behavioral analytics to detect cases where no cultivation has taken place, yet indemnity claims are submitted. By combining remote sensing, historical records, and anomaly detection algorithms, the system flags suspicious activities in real time, significantly reducing fraud losses and operational costs.

Key benefits:

• Reduced claim leakage and financial exposure
• Improved transparency and trust
• Automated, scalable, and highly accurate