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
January 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 MOREJanuary 15, 2026 | Blog
Introduction to Crypto AML compliance and DeFi act..
More than $2 billion in crypto was stolen in 2025, with stablecoins accounting for over 60% of identified illi..
READ MOREJanuary 15, 2026 | Blog
pKYC vs. periodic reviews: The future of Enhanced ..
Banks don’t fail at KYC because they lack data. They fail because customer risk stops learning once onboardi..
READ MORE