Anti-Money Laundering

Machine-learning entity resolution and advanced network-based risk models make it easy to link customers, networks, and unknown counterparties accurately. The result is a solid, future-proofed foundation and a central client file — a true “customer 360” — that updates dynamically across every AML function.

We take a hybrid approach: comprehensive out-of-the-box modules, scenarios, and models, paired with the flexibility to meet the regulatory demands of your specific customer base and risk tolerance. That improves alert accuracy and efficiency while producing more high-quality, automated reports for regulators.

Built from the start with privacy and civil-liberties concerns front of mind, the platform includes unusually granular security controls.

All data is encrypted in transit and at rest, with high auditability and role-based access control, so teams can access and share the data they need without compromising security.

With a holistic view across transaction, relationship, counterparty, KYC, and sanctions risk, analysts can quickly triage alerts and ask follow-up questions to disposition an entire network of related entities. Built-in workflow management keeps escalation, triage, and review timely and transparent across teams.

Once an investigation closes, the platform generates the required reporting with full data lineage to source systems, updates reports dynamically as information changes, and alerts analysts to new risks.