Our Federated solution

Play
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
May 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 MOREMay 13, 2025 | Blog
AI vs AML Compliance: 6 questions every firm shoul..
What happens when your AI moves faster than your compliance team can follow? Unfortunately, this is an actual ..
READ MOREApril 24, 2025 | Blog
Rethinking risk ratings: a collaborative data-driv..
Customer Risk Ratings (CRRs) play a central role in anti-money laundering and counter-terrorist financing (AML..
READ MORE