Case Study: LYNK Capital slashes document fraud detection time with Resistant AI

A Resistant AI Case Study

Preview of the LYNK Capital Case Study

How LYNK Capital supercharged their fraud detections

LYNK Capital, an American private mortgage lender specializing in loans for real estate investors, needed a faster way to detect increasingly sophisticated document fraud as loan volumes grew. Manual reviews and underwriter instincts were becoming unsustainable, slowing decisions and making it harder to maintain clean files at scale. Resistant AI’s document fraud detection was used to help address this challenge.

With Resistant AI’s document fraud detection, LYNK Capital cut fraud detection and resolution from days to minutes, and underwriters gained clear proof of document tampering to support decisions. The company reported 75% less fraud and detection times of around 2 minutes, while also improving operational efficiency and giving loan buyers greater confidence in the quality of the loans being purchased.


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LYNK Capital

Dee Toal-Brothers

Chief Executive Officer


Resistant AI

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