Case Study: Circa LA avoids costly evictions and saves $400K with Snappt's AI fraud detection

A Snappt Case Study

Preview of the Circa Case Study

How Circa LA uses Snappt to fight sophisticated fraud and decrease evictions

Circa is a billion‑dollar, 648‑unit luxury high‑rise in downtown Los Angeles that was seeing sophisticated, costly lease‑application fraud—about $25,000 per average eviction and up to $150,000 for some penthouses. To protect revenue and speed leasing, Circa engaged Snappt and its AI‑enabled image analysis solution to detect altered financial documents submitted online.

Snappt’s system electronically analyzes applicants’ financial paperwork to flag edits invisible to the human eye, reducing manual review time and ensuring consistent Fair Housing Act compliance. In a typical month Snappt flagged 37% of packages as edited/suspicious, verified 57% as clean, helped Circa avoid an estimated $400,000 in potential eviction costs, and cost just $555 over six weeks—delivering immediate ROI and dramatically lowering eviction risk.


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Circa

Chad Vasquez

General Manager


Snappt

5 Case Studies