TigerGraph for Anti-Money Laundering

TigerGraph powers Anti-Money Laundering (AML) by linking data together, incorporating rules-based machine learning methods to automate processes and reduce false positives - all in real-time. Organizations can move away from cumbersome transactional processes and towards a more strategic and efficient approach. Real-Time Deep Link Analytics by TigerGraph provides enterprises the ability to quickly capture, store, search, and analyze data to find previously undiscovered correlations and connections. The result is more accurate and responsive detection of suspicious activity -- with fewer false positives. Download the solution brief to learn more.  

Download the Solution Brief

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“TigerGraph's speed, scalability and graph model have enabled many applications for us that we previously thought were overly challenging."

Jack Xie

Head of Data at Wish.com

About TigerGraph

TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph’s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum.


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Redwood City, CA 94065