Purpose-Built AI & Machine Learning Models for Fraud and Risk

Transform your fraud detection strategy with the power of machine learning. The AI/ML Model Hub puts a comprehensive catalog of cutting-edge models at your fingertips – ready to deploy instantly for proactive insights you can trust.

Our pre-trained models put the power of big data to work immediately, identifying hidden patterns and anomalies specific to your business from day one. When you’re ready, implement a custom-trained model that leverages your feedback data to continuously learn and deliver incredibly accurate predictions tuned precisely for your use case.

3 Different Model-Types

🛡️ Shield Model

Our Shield Model empowers your financial institution with continuously evolving fraud prevention, trained on your data. Leveraging advanced feature engineering, statistical analysis, and automated model training, Shield Models adapt to emerging risks, ensuring you’re always one step ahead of possible exploits.

🔍 Detect Model

Our Detect Model offers immediate, data-driven insights without needing historical data. Detect is ideal for institutions looking for an out-of-the-box machine learning model to deploy on day one to flag suspicious activities.

🌐 GraphIntel Model

Our GraphIntel Model transforms data entities into a dynamic network graph, useful for identifying fraud rings and zeroing in on suspicious data points throughout the entire network. By leveraging machine learning, the algorithm meticulously evaluates each node’s connections and their associations with fraudulent nodes. Risk scores associated with each entity can then be utilized to flag potential fraud or risky individuals.