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PI & Law Enforcement

Criminal Network & Association Mapping

Identify and map relationships between individuals, groups, and organizations to expose hidden networks and coordination. Intrace turns scattered data points into a clear picture of how a network operates.

Problem

Organized crime, gangs, and fraud rings deliberately obscure their connections across many people, accounts, and transactions. Mapping those links by hand can take weeks, and the full structure rarely becomes visible. Without link analysis, coordination hides in plain sight: shared addresses, phones, and accounts that never get connected across separate records.

Solution

Intrace visualizes how people, accounts, locations, and identifiers connect, letting analysts pivot from any entity to surface new links instantly. Subgraphs and timelines reveal structure and coordination. Network analysis that once took weeks compresses into hours, helping teams expose hidden relationships and prioritize the highest-value targets.

Intrace Solutions

Purpose-Built Modules for Criminal Network & Association Mapping

Intrace graph view showing entity connections and investigation transforms

Map the Network and Its Coordination

Pivot findings into interactive link charts that connect people, accounts, locations, and indicators. Run transforms, isolate subgraphs, and trace lineage as the case picture sharpens.

Develop Each Entity in the Network

Launch from any lead with unified web, PII, and records search. AI-synthesized overviews surface matches across sources so analysts can validate identity and enrich entities in a single pass.

Intrace search results with AI overview and web person profiles
Intrace social vault showing social map and profile analytics

Capture Social Ties as Evidence

Collect and analyze social profiles at scale—mapping followers, engagement, and sentiment while preserving posts, media, and metadata for downstream review and reporting.

Frequently Asked Questions

Graph link analysis connects entities through shared addresses, phones, identifiers, and records, surfacing relationships that stay fragmented across separate data sources.

Yes. Prefilled transforms enable rapid, high-depth pivoting from any entity, so analysts expand a network without fighting the interface.

Timelines trace activity across a network to uncover patterns, sequencing, and coordination that inform investigative priorities.

Analyses that previously took weeks of manual cross-referencing can be built in hours, freeing analysts for higher-value strategic work.