Get a 360 degree risk view across your customer portfolio with dynamic profile scoring and prioritised alert generation, powered by Adaptive Behavioral Analytics.
Achieve efficiency by reducing false positives and prioritizing alerts. Investigators can focus on the most suspicious cases first.
Surface unknown threats with unparalleled anomaly detection, keeping ahead of constantly evolving financial crime typologies.
Improve transaction monitoring performance over time with self learning, explainable machine learning models that require no manual retuning. Discover more about our machine learning techniques in the AI Innovation in AML Transaction Monitoring whitepaper.
Model governance underpins our award-winning machine learning models at every step. Learn about Featurespace’s model governance approach in detail in the Featurespace Model Governance for Anti-Money Laundering whitepaper.
95% False Positive Reduction All existing and new SARs in top 5% of prioritized alerts
33% More New Unknown Threats Found compared with existing system
80% Case Conversion Rate For new unknown threats - 40% sent for CDD Review
33% SARs Caught 1 Month Earlier Than the existing system
100% POCs Won Featurespace selected in Proof of Concepts across use cases
9 Week Delivery Fast deployment as standalone or complementary augmented analytics