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

August 7, 2025 | Blog

UK’s Monzo Bank £21m warning: scale without con..

There’s something unsettling about how familiar this is. A fast-growing bank. Compliance controls that could..

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August 7, 2025 | Blog

What’s really holding back AML collaboration and..

Collaboration across financial service organizations exists today. Credit Reference Agencies (CRAs) gather cre..

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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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