Our Federated solution

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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
July 19, 2025 | Blog
The gaps criminals exploit: Why global AML collabo..
Criminals exploit gaps in both banks’ monitoring systems and also take advantage of jurisdictional gaps...
READ MOREJuly 16, 2025 | Blog
Why smaller FIs face structural disadvantages in A..
Smaller financial institutions face structural disadvantages in meeting anti-money laundering (AML) compliance..
READ MOREJune 17, 2025 | Blog
Smarter AML triage: How ranked scoring boosts risk..
The volume problem isn’t going away. But how you triage it can change. By the end of 2024, financial institu..
READ MORE