Anti Money Laundering

with Artificial Intelligence

Transform Financial Crime Detection with Machine Learning

The application offers a universal view by integrating data from internal systems and external sources, transaction monitoring data, and traditional central banking. It also supports automated closed-loop feedback to improve predictions and increase monitoring workflows.

In addition, it provides transparent and easy-to-interpret risk factors for each risk score, with easily configurable and flexible rules, allowing smart adjustment to changing regulations and money laundering strategies. The application uses sophisticated machine learning techniques, including self-learning based on researcher results, to identify new and familiar typologies.

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