Case Study: Marinus Analytics helps law enforcement combat human trafficking faster with Amazon Web Services (AWS) Amazon Neptune

Marinus Analytics Equips Law Enforcement to Fight Human Trafficking with Amazon Neptune

Marinus Analytics, a woman-owned company that builds AI tools to help law enforcement combat human trafficking, faced a challenge with its Traffic Jam application: its relational database could only uncover limited connections in large, complex criminal networks, and manual link charting was time consuming. The company turned to Amazon Web Services and used Amazon Neptune alongside its existing AWS-based stack to better surface relationships across online ads and other data.

Amazon Web Services implemented Amazon Neptune as a purpose-built graph database to automate relationship discovery and speed investigations. As a result, Traffic Jam could analyze 2.5 degrees of separation, handle about 350,000 data points per day, and return many queries in milliseconds instead of minutes; Marinus Analytics also reported that law enforcement identified suspected trafficking groups with as many as 90 physical locations and that the new setup made querying an order of magnitude faster.

Marinus Analytics

Cara Jones

Chief Executive Officer and Co-Founder