Customer success stories
Browse a a collection of case studies and see how we innovate with, and boost revenue for, our clients.
Case studies
Saving over £150k in just three cases. All examples inside
See how Fraud Finder helps protect Halo Corporate Finance from fraudulent applications and manipulated documents...
How Cubefunder protects and grows its loan book using Fraud Finder.
As Cubefunder and its lending book continue to grow, they need an automated and instant processing flow in place...
How we prevented an £800k loan from being granted to a fraud.
Apex Bridging is one of the UK’s leading bridging finance companies. They pride themselves on common sense lending...
How Portman Asset Finance reduced fraud & cut operational cost.
Portman Asset Finance is a well-established financial provider serving UK SMEs with access to a range of finance...
Protecting Letref's high-net-worth clients by using Fraud Finder.
Meet Letref, a specialist lettings reference company that prides themselves on working in a totally different way to...
How we boosted Knight Frank’s tenant approvals
Knight Frank experienced an 17.5% increase in consumer applications approvals after joining forces with Homeppl. Here’s how...
Building an anti-fraud fortress for Quintain Living
Quintain Living are the biggest BTR development in London and suffered greatly with fraudulent subletting and fake applications.
Spotahome premium: A brand new financial product
A run down of how Homeppl’s flexible and international guarantees helped Spotahome diversify their revenue streams...
Referencing technology that saves our clients millions
A deeper look into the value of fraud we’ve caught for some of our clients over the last 12 months...
Preventing a US-based fraudster from extending operation to UK
Illegal subletting and other financial crimes within the BTR sector is rife, with a 364% rise in fraudulent tenant applications...
Helping Living by Scape assess a flurry of ‘thin filed’ consumers
The tenants in their builidings were students and internationals. They found that referencing comapnies couldn’t accurately assess their risk.