Neo4j acquires GraphAware. Learn more about this exciting new chapter.

Uncover the full financial crime picture

Connect financial intelligence to uncover hidden relationships,
investigate illicit activity, and strengthen enforcement outcomes.

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finance bank deposits

Your FINANCIAL CRIME analysis Platform

GraphAware Hume is very intuitive and easy to use even for non-technical users. Within a month of the first deployment, we have doubled the number of fraudsters detected.
european union

— Fortune 500 Bank, Fraud Investigation Unit Lead

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.

Intelligence TOOLING wasn’t designed for TODAY’S DATA

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.

Traditional approaches
The graph-powered approach
Siloed data sources
A connected intelligence picture
Isolated case-by-case investigations
A growing intelligence foundation
Bottlenecked relational systems
A scalable graph-at-core foundation
Rigid schemas and predefined models
Flexible, extensible graph models
Manual record searches
Unified, cross-source analysis
Static investigation views
Interactive network discovery

GRAPH-POWERED INTELLIGENCE AnalySIs Platform

native graph analysis

Follow the money

Bring accounts, transactions, companies, assets and ownership structures together into a connected financial intelligence picture.

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Reveal hidden connections

Explore beneficial ownership, intermediary organisations and indirect relationships that remain invisible in traditional systems.

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Strengthen investigations

Produce richer financial intelligence, support enforcement action, and accelerate investigations into illicit activity.

Explore GraphAware Hume

See GRAPHAWARE Hume in action

An example of an anti-money laundering investigation

Why organisations choose GraphAware Hume

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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.

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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.

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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.

Real-world use cases

Powering criminal intelligence analysis for law enforcement agencies

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.

  • Connect transactions, accounts, entities and individuals into a connected intelligence picture
  • Identify suspicious behavioural and transactional patterns across multiple datasets
  • Follow the movement of funds through complex financial networks
  • Add context to suspicious activity reports by revealing the wider network behind each alert

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.

  • Detect indirect exposure to sanctioned individuals and organisations
  • Reveal beneficial ownership and hidden control relationships
  • Identify intermediary organisations, facilitators and proxy entities
  • Automate monitoring of sanctioned individuals with graph-powered alerting.

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.

  • Trace beneficial ownership across complex corporate structures
  • Follow the movement of funds through concealed intermediaries
  • Build stronger evidential links between criminal activity and assets

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.

  • Explore ownership and control relationships across multiple entities
  • Detect hidden or indirect associations
  • Add context from multiple internal and external data sources
  • Support ongoing due diligence and enhanced investigations

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.

  • Connect contracts, suppliers, organisations and individuals
  • Detect suspicious procurement and payment patterns
  • Explore relationships between vendors, officials, and financial activity
  • Identify networks indicative of corruption or misuse of public funds

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.

  • Connect financial activity with operational and intelligence reporting
  • Identify facilitators, intermediaries and hidden support networks
  • Trace the movement of funds across organisations, jurisdictions and financial channels
  • Understand how financial activity enables wider hostile or criminal operations

THE GRAPHAWARE HUME ADVANTAGE

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 platform

A connected intelligence picture

Unify fragmented data from multiple systems into a connected intelligence picture that reflects how analysts think and how financial crime happens in the real world.

A graph that’s always ready

Move away from manually-drawn graphs. Create an always-current investigation environment, with entities, relationships, and intelligence linked and ready to explore.

Easy multi-hop query creation

Use visual query building with no coding expertise required. Expand on your existing link analysis tooling to get useful intelligence faster.

Uncover unknown unknowns

Discover patterns and relationships with multi-hop connection analysis, and explore them as networks, on maps, or through time.

Share intelligence easily

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.

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