Graph database company Neo4j Inc. today launched a product that banks and insurers can use to detect and investigate financial crime.
The product is called Neo4j GraphAware Financial Crime Intelligence. Today’s release is the first since Neo4j closed its purchase of GraphAware in August.
When the deal was announced in June, Neo4j pitched GraphAware’s Hume software to government agencies as an alternative to Palantir Technologies Inc.’s Gotham. The new product aims the same graph approach at the private sector.
Financial fraud cost victims an estimated $442 billion globally in 2025, according to an Interpol threat assessment published in March. A single Interpol operation this year produced 5,811 arrests in 97 countries and territories and $293 million in intercepted funds, the agency said in July. Neo4j said regulators are shifting more of the burden for prevention onto financial institutions, often with expensive fines attached, at a time when criminals are using artificial intelligence to scale up.
The software joins data held in separate systems into one graph that analysts can query to trace links across accounts, transactions and devices. Neo4j calls that kind of multihop reasoning a core strength of graph databases.
Underneath the product is a reusable knowledge layer that Neo4j also pitches as grounding for enterprise AI. Each worked case adds to it, the company said, so later monitoring can draw on what earlier investigations turned up.
Four stages make up the workflow. Signal handles detection and looks for suspicious patterns buried in connected data. The Alert stage then hands investigators deduplicated warnings with the context behind each flag.
In the Investigate stage, graph analytics trace linked records, and case-specific data from third parties can be pulled in where internal records run out. The last stage, Decide, logs the outcome of each case and preserves the relationships and provenance behind the call as longer-term evidence.
“Every fraud involves a network,” said Michael Down, global head of financial solutions at Neo4j. Storing relationships natively lets a graph platform hop between data points quickly enough to surface suspicious behavior, he said.
Neo4j said its software already supports fraud detection or compliance work at large institutions including BNP Paribas SA, UBS Group AG and Zurich Insurance Group AG. Klarna Group plc is one of several fintechs using it for AI projects. Across all industries, 84 of the Fortune 100 run Neo4j, the company said in June.
SiliconANGLE Media’s livestreaming studio, theCUBE, will be covering Neo4j’s GraphSummit on Sept. 24. The company is expected to make the case for graph technology as the knowledge layer for enterprise AI.
