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
August 6, 2026 | Blog
FinCEN’s 2026 NPRM: The AML collaboration im..
Key takeaways from this article:FinCEN’s proposed AML rule sets one standard: demonstrate that your prog..
READ MOREJune 16, 2026 | Blog
Generative AI and financial crime: When deception ..
In early 2024, a finance worker joined what appeared to be a routine video call with the CFO and several senio..
READ MOREJune 16, 2026 | Blog
Why Chinese money laundering networks still evade ..
Chinese money laundering networks (CMLNs) are already well understood across the industry. Their role in suppo..
READ MORE