Our Federated solution
Play
Core AML/CFT model
Enhance transaction monitoring and customer due diligence
Correspondent Banking
Federated Learning model for enhanced risk management
High-Risk Typology models
Uncover hidden high-risk typology
High-Risk Jurisdictions model
Identifying high-risk transactions
In the news
Anti-money laundering (AML) risk management reimagined
The first Federated Machine Learning technology for AML and financial crime detection.
Federated learning shares suspicious behavioral patterns without ever moving data
Dramatically improves efficiency & effectiveness of AML controls
Reduces false positive alerts by
75%
300%
Improved identification of high-risk customers
Proactively pinpoint new and potential risks
Latest posts
May 19, 2026 | Blog
The Mexico–U.S. corridor: From fragmented intell..
Cross-border financial crime between the United States and Mexico sits at the center of one of the most active..
READ MOREMay 7, 2026 | Blog
The conformity trap: How AML standardization is gi..
AML regulation is undergoing significant changes. Across jurisdictions, regulators are moving away from assess..
READ MOREMay 5, 2026 | Blog
Wildlife trafficking doesn’t need to hide. T..
Wildlife trafficking is often framed as a conservation issue. In reality, it operates as a global criminal mar..
READ MORE