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Leverages the power of Artificial Intelligence (AI) to generate high-quality alerts
Scalable community-driven typology library driven by the “Hub and Spoke” model for powerful transaction monitoring
Detect suspicious cases from the smallest detail and avoid any false negatives
Categorise alerts into 3 risk levels with our machine learning models for easier investigation
Streamline workloads and cut costs with efficient, flexible, and reliable compliance programmes
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Encompasses both name screening and real-time transaction screening capabilities to accurately identify positive hits and reduce false positives
Screen and prioritise all name search hits, ensuring efficiency in the investigation process
Reduce held transactions and improve straight-through processing with more accurate matching
Reduce noise and work more efficiently with powerful machine learning models
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Holistic risk coverage for each customer ingesting data from multiple internal and external sources
Create a dynamic, 360-degree risk profile of your customers informed by their profile information, transactional activity and alert history
Ensure highly accurate customer risk scores at all times with a well-timed re-scoring of existing customers
Utilise historical data to augment the risk score and improve accuracy over time with limited human interaction
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Speedy alert disposition and easy regulatory report filing with an end-to-end workflow solution that manages alerts from all solutions and consolidates in an interactive, modern-age case manager
Centralise alert investigation across all AML processes–transaction monitoring, customer due diligence and screening
Enable deeper investigations into suspicious activities with our strong network detection engine, visualising transaction round-tripping, flow-through of funds, and more
Save time spent on creating reports and ensure a smooth filing process with readily available case information
