Global Illumination of Financial Crime
Ripjar’s Client Screening solution allows the continual screening of millions of clients against a million news providers and all known Sanctions and Watchlist entities in near real-time.
Automating Client Risk Screening
Scale your adverse news and sanctions checks with our advanced AI.
An unprecedented toolkit for fusing, analysing and orchestrating data analysis at scale.
Case Study: A Tier One Global Bank
Case Study: A Tier One Global Bank based in Europe
Ripjar's Client Screening solution dramatically reduces the amount of manual effort needed to monitor all of a financial institutions clients.
Adverse Media Screening Guide
Adverse media, or negative news as we used to call it, has become an important part of the anti-financial crime arsenal (AFC).
Secure By Design
Ripjar's platform - Labyrinth - is built to maintain a customer's security requirements under the strictest financial and government security environments.
Ripjar presents a next-generation financial crime capability that uses machine learning to automatically identify client risk across all data sources in real-time.
Client Screening: A Next Generation Approach
Traditional approaches to client screening for risk have involved manual searching and limited batch processing of records to identify risks within adverse news, PEP and sanctions lists. In this white paper, we discuss Ripjar's next generation approach to client screening that uses artificial intelligence to continuously monitor all clients for risk in real time.
Ripjar Labyrinth allows organisations to build solutions to fuse data, automate analytics, and orchestrate workflows to solve some of the world’s most challenging problems.