Case Study: European Law Enforcement Agency’s Unit for the Suppression of Organized Crime achieves 30% faster call analysis and saves 111 man-days with Phonexia

How a European law enforcement agency utilized Phonexia's voice biometrics technology to enhance its efficiency in combating organized crime

The Unit for the Suppression of Organized Crime, part of a European Law Enforcement Agency, faced the task of investigating a seven-person network involved in money laundering and drug trafficking by analyzing 750 hours of intercepted calls plus 120 hours from covert home surveillance. With limited time and human resources, the unit needed an automated, on‑premise solution to speed up speaker and content analysis—so they turned to Phonexia’s AI‑powered voice biometrics and speech recognition, notably Phonexia Speaker Identification and Phonexia Keyword Spotting.

Phonexia’s technologies, integrated by a partner, enabled rapid speaker identification, keyword filtering and link analysis, revealing at least 30 new phone numbers tied to previously unknown criminal organizations and flagging new suspects for follow‑up. The solution sped up call analysis by 30%, saving about 111 man‑days on the case, helped prioritize actionable calls, and showed that 20% of audio contained no speech—allowing the European Law Enforcement Agency to investigate faster with fewer analysts.