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
September 11, 2025 | Blog
Explaining AML AI models: Making performance metri..
In regulated environments like AML, a model without transparency is a model without credibility. Executives wo..
READ MORESeptember 11, 2025 | Blog
Spotting Fentanyl in the financial fog: Why Federa..
Fentanyl kills quickly. The money that fuels it moves quietly. And that’s what makes it so hard for banks to..
READ MOREAugust 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 MORE