Fraud detection
Find fraudelent signals in a massive pool of data
Description
A lot of the fraudelent activity can be identified by its dissimilarity with the rest of the data. We utilize both supervized and unsupervised approaches to engineer, dissect, and build a custom model around your data.
Fraudelent activity costs billions of US dollars. With both preventative measures and after-the-fact insights, we can help you keep your clients safe and your guard up-to-date.