Case Study: CubeFunder protects its loan book from fraud with Homeppl’s Fraud Finder

A Homeppl Case Study

Preview of the CubeFunder Case Study

CubeFunder flags 21% of documents as high risk with Homeppl

CubeFunder, a provider of small business financing, faced the challenge of manually verifying the authenticity of bank statements submitted with loan applications. They needed a tool to automatically detect digital tampering and provide evidence of fraud to protect their growing loan book. They implemented Fraud Finder from Homeppl to address this challenge.

Homeppl's solution was the Fraud Finder API, which provided automated, instant processing of documents. The implementation resulted in the discovery that 21% of submitted documents were high-risk. The tool also digitized transaction data for CubeFunder's affordability algorithms and processed each document in an average of 13.4 seconds, significantly enhancing their assessment process.


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