A multi-national justice organization uncovered evidence that criminal syndicates were using a covert communications network to evade law enforcement. Working with partner agencies, they infiltrated the system. Every day the investigators faced overwhelming volumes of messages, connections, and leads. Over a hundred million messages were captured, tied to thousands of individuals and assets across the globe. The content was far from clear. Criminals used slang, code words, and shifting jargon across multiple languages, further obscuring meaning and frustrating investigators.

To bring suspects to justice and prevent new crimes, they needed more than raw data access. They needed to understand who was connected to whom, and how each person, place, and event fit into the larger picture. The investigations spanned organized violence, human trafficking, drug and weapons smuggling, and more than a billion dollars in criminal funds.

Existing software solutions broke down under the weight of the data. High-end platforms were tested and failed, proving too slow, too rigid, and unable to surface hidden context. These platforms lacked tools to connect people, places, and coded terminology into a coherent picture. Cross-jurisdictional coordination attempts magnified the difficulties.