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
February 3, 2026 | Blog
When models begin to influence markets: The Zillow..
At the end of 2025, Zillow, the largest residential real estate listing platform in the United States, quietly..
READ MOREFebruary 1, 2026 | Blog
Human in the loop in 2026: What AML governance now..
This is not another recap of why “human in the loop” is crucial. It is an examination of how that concept ..
READ MOREJanuary 20, 2026 | Blog
The future of AML effectiveness: The metrics regul..
Coverage, precision, prioritization, and case aging reveal an AML program’s true operational behavior un..
READ MORE