ICIJ’s latest investigation, the FinCEN files, sheds light on how financial criminals use US banks to move money throughout the world. This blog post looks behind the scenes of the investigation to explain how ICIJ used Linkurious Enterprise coupled with the Neo4j graph database and other tools to uncover stories of corruption, fraud and money laundering. NB: […]
Discover our user stories and learn about the challenges they overcame with graph technology. In this post, our partners from tech4pets explain how their organization is helping animal welfare associations and authorities dismantle pet trafficking networks through the collection and analysis of online data.
Discover our user stories and learn about the challenges they overcame with Linkurious technology. In this post, we explain how the Critical Threats Project analysts at the American Enterprise Institute are using Linkurious Enterprise to piece together intelligent pictures of conflict dynamics, understand threats, and share recommendations.
In this blog post, our partners from CGI describe their approach to fraud detection and anti-money laundering: a combination of machine learning and graph technology.
This post was originally published on Global Witness blog on January 17th, 2018 by Sam Leon who takes us behind the scenes of Global Witness’ investigation “Narco-A-Lago: Money Laundering at the Trump Ocean Club, Panama”. He explains how the teams collected, processed and analyzed the data gathered for the investigation.
The inside story of the Paradise Papers leak Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks and the Panama Papers scandal. ICIJ network of 380 journalists used Linkurious’ data analytics software to investigate the Paradise Papers leak. With more than 1,4 terabytes of data, the Paradise Papers is the […]