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
June 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 MOREJune 12, 2025 | Blog
Backlog = hidden risk: A ranking-based approach to..
In many banks, aged alerts are reviewed in the order they were created, not based on the severity of the risk ..
READ MOREMay 13, 2025 | Blog
Don’t rip and replace: How modern AML models can..
There’s a reason financial institutions push back on full-scale AML overhauls: they’re expensive, complex,..
READ MORE