Case Study: Lucinity achieves stronger AML detection and compliance with Neo4j AuraDB

AML Software Employs Neo4j AuraDB to Power AI Platform

Lucinity, an anti-money laundering software company, needed a better way to help banks detect money laundering and financial crimes hidden in highly connected data. The company saw Neo4j as the right fit for its human AI platform and case management software, because its AML challenge depends on uncovering relationships between customers, accounts, transactions, and other compliance data.

Neo4j helped Lucinity implement a cloud-first graph solution using Neo4j AuraDB Enterprise on Google Cloud Platform. With Neo4j, Lucinity can run graph data science techniques to detect clusters, analyze centrality and links, reduce false positives, and improve investigation workflows. The result is a more efficient AML platform with a 360-degree view of transaction networks, flexible scaling, and predictable cloud costs.

Lucinity

Justin Bercich

Head of AI