Understand criminal networks faster

Organised crime is resilient because it operates as a network. Arresting one offender or disrupting one incident rarely tells you how the wider organisation works, who enables it or where to intervene next.

Graph-powered criminal intelligence analysis helps investigators:

• Connect people, locations, organisations and assets across multiple investigations
• Reveal hidden relationships and supporting criminal infrastructure
• Identify influential individuals, facilitators and repeat patterns of activity
• Understand how criminal networks evolve across cases, jurisdictions and time

And move beyond street-level arrests, and focus on the networks behind them.

Recovering criminal assets depends on proving who really controls what. But ownership is deliberately concealed through shell companies, nominee arrangements, intermediaries and layered financial activity designed to frustrate investigators.

Graph-powered criminal intelligence analysis helps investigators:

• Connect individuals, companies, assets and financial transactions
• Trace beneficial ownership across complex corporate structures
• Follow the movement of funds across jurisdictions
• Identify hidden intermediaries and supporting networks
• Build stronger evidential links between criminal activity and assets

Develop a clearer picture of ownership and control to support asset tracing and confiscation.

A phone download, call record, or device location dataset rarely reveals much in isolation. Its value comes from connecting it to people, places, events, and other known intelligence.

When CDRs and digital evidence are connected within a wider intelligence graph, relationships and behavioural patterns emerge that are difficult to uncover through isolated analysis alone.

Graph-powered criminal intelligence analysis helps investigators:

• • Explore downloads alongside suspect and location data
• • Identify co-location patterns through geospatial analysis
• • Uncover links between devices, identities, and operational activity
• • Connect communication patterns with a wider investigative context

Turn digital material into intelligence that supports faster, better-informed investigations.

In major and time-sensitive investigations, the first challenge is often understanding what is already known.

Graph-powered criminal intelligence analysis helps investigators:

• Search across fragmented data sources from one environment
• Find contextual links that would be difficult to spot manually
• Follow emerging leads as new information becomes available
• Build shared understanding across teams and workstreams

Give investigation teams the context they need to act quickly when time matters.

In complex investigations, identifying likely suspects often means searching across multiple siloed data sources to identify connections between people, devices, vehicles, locations, and previous activity.

Graph-powered criminal intelligence analysis helps investigators:

• Surface links between people, devices, vehicles, locations and events
• Identify persons of interest through indirect associations
• Spot recurring behaviours, shared addresses or common contacts
• Prioritise leads based on connected intelligence

Move from static suspect lists to intelligence-led suspect development.

Criminal activity rarely aligns neatly with organisational or jurisdictional boundaries.

When intelligence is fragmented across agencies and systems, critical context can remain hidden, duplicated, or difficult to access during active investigations.

Graph-powered criminal intelligence analysis helps agencies:

• Connect related entities, events and investigations across boundaries
• Reduce duplication and missed context
• Build a shared operational picture across teams
• Identify cross-jurisdictional patterns and activity

Enable collaborative workflows that improve inter-agency knowledge, strengthen investigative understanding, and support more coordinated responses.