Case Study: Marinus Analytics achieves rapid identification and reunification of human trafficking victims with Amazon Web Services (Amazon Rekognition)

A Amazon Web Services Case Study

Preview of the Marinus Analytics Case Study

Marinus Analytics fights human trafficking using Amazon Rekognition

Marinus Analytics, a woman‑owned AI company founded in 2014, builds tools that turn big data into actionable intelligence to locate human trafficking victims. Investigators faced an overwhelming challenge: manually sifting through thousands of low‑quality, text‑overlaid online ads—a slow, error‑prone process when time is critical.

Marinus’ Traffic Jam platform integrates Amazon Rekognition’s FaceSearch and DetectText APIs to automatically search millions of records in seconds and extract overlay text, working even on grainy or poorly lit images where other services failed. The technology has produced rapid, real‑world results—recovering a missing 16‑year‑old within days, helping identify 20 victims, and enabling a trafficking case to be built in three months instead of years—speeding rescues and prosecutions.


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Marinus Analytics

Emily Kennedy

President and Co-Founder


Amazon Web Services

2483 Case Studies