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..
READ MOREAugust 7, 2025 | Blog
What’s really holding back AML collaboration and..
Collaboration across financial service organizations exists today. Credit Reference Agencies (CRAs) gather cre..
READ MOREJuly 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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