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Anti-Money Laundering

  • Criminals use techniques such as placement, structuring, or layering to avoid detection.
  • Existing rule-based AML systems are rarely updated and struggle to keep up with evolving criminal techniques.
  • This application can augment existing system to monitor suspicious activity and detect anomalies that suggest criminal behavior.
  • Prioritizes transactions for investigation by human analysts and reduces false positives.
GET APP Feature Labs makes it easy to connect to your data and deploy

How it Works

This application is ready to be deployed to provide value right away.

To get started, you just need to map your data to the required inputs. From there, Feature Labs’ data science automation will take care of the rest. The application will automatically

  • Extract historical examples to learn from
  • Identify predictive signal using Deep Feature Synthesis
  • Select and optimize a machine learning model for deployment

This application is not a black box. After the initial integration is made, it is simple for a developer to add additional data sources, tweaking the prediction problem, and deeply inspect how each step in the process works.

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