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...

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July 16, 2025 | Blog

Why smaller FIs face structural disadvantages in A..

Smaller financial institutions face structural disadvantages in meeting anti-money laundering (AML) compliance..

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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..

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