Uncover the full financial crime picture
Connect financial intelligence to uncover hidden relationships,
investigate illicit activity, and strengthen enforcement outcomes.
Connect financial intelligence to uncover hidden relationships,
investigate illicit activity, and strengthen enforcement outcomes.

Graph-powered intelligence analysis for FINANCIAL CRIME
GraphAware Hume connects fragmented financial intelligence, accelerating financial crime investigations.
Financial criminals hide relationships between people, organisations, accounts, assets and transactions.
GraphAware Hume makes those hidden connections visible, helping analysts uncover illicit funds, hidden ownership, and financial crime networks.
Financial crime is rarely visible through a single transaction.
Money laundering, sanctions evasion, corruption, and organised financial crime all rely on networks of people, companies, accounts and assets designed to obscure ownership and conceal the movement of money.
But when intelligence is spread across company registries, SARs filings, sanctions lists, transaction systems, and other siloed sources, analysis becomes slow, manual, and error-prone.
GraphAware Hume creates a connected intelligence picture that makes those relationships immediately accessible, so analysts can move from searching for information to understanding it.
Why organisations choose GraphAware Hume
Built on a graph-native core
As investigations and data complexity grows, most analysis tools grind to a halt.
GraphAware Hume is different. Built on graph technology at every layer, it creates a connected intelligence picture that gets more powerful as data volumes and complexity grow.
Limits on the depth and scale of your analysis disappear, letting you answer questions that would otherwise be impossible.
A platform you make your own
GraphAware Hume is designed to adapt to your needs, not force you into fixed ways of working.
You design the pipelines. You define the schema. You configure it for the job that needs to be done. No black boxes. No proprietary logic. No vendor lock-in.
It’s a secure, transparent, and flexible platform you can make your own.
Proven route to intelligence
We’ve refined our approach to bypass traditional integration purgatory.
We prioritise fast time to value, early results, and iterative improvements that build momentum. Analysts are asking real questions and finding answers in data within weeks.
From there, GraphAware Hume grows with your mission as you integrate new sources, refine your models, and deliver lasting value.
One suspicious transaction rarely tells the whole story. Analysts need to understand how accounts, businesses, and transactions connect, and how illicit activity is concealed in layers of legitimate-looking behaviours.
Sanctions screening isn’t a ‘one and done’ check. Analysts need to understand the risk beyond the sanctioned individual or organisation itself, including hidden ownership structures, indirect control relationships, and on-going risk assessment.
Recovering criminal assets depends on proving who really controls them. Ownership is deliberately concealed through shell companies, nominee arrangements, intermediaries, and layered financial activity designed to frustrate investigators.
Knowing your customer means understanding far more than the basic details held in their customer record. Ownership structures, counterparties, historical relationships, and financial behaviour all contribute to a more accurate assessment of risk.
Procurement fraud, corruption and the misuse of public funds can be challenging to investigate. They emerge through networks of suppliers, payments, contracts, organisations, and financial relationships that appear legitimate when viewed in isolation.
Threat finance networks are designed to move money without revealing who controls it or what it enables. Funds pass through legitimate businesses, intermediaries and multiple jurisdictions to conceal the organisations and individuals behind them.
Protect financial systems from abuse, and deter organised crime

Monitor complex money flows across multiple datasets and detect patterns of suspicious activity – all in a single platform.
Our platformUnify fragmented data from multiple systems into a connected intelligence picture that reflects how analysts think and how financial crime happens in the real world.
Move away from manually-drawn graphs. Create an always-current investigation environment, with entities, relationships, and intelligence linked and ready to explore.
Use visual query building with no coding expertise required. Expand on your existing link analysis tooling to get useful intelligence faster.
Discover patterns and relationships with multi-hop connection analysis, and explore them as networks, on maps, or through time.
Map connections between individuals and legal entities, and build customisable 360° views with action boards. Distribute insights to teammates and colleagues using snapshots, Workspaces, and annotations.