Risk management for digital lending

Thanks to Nethone's profiler we gather 5000+ attributes about every user who lands on your page. Across a wide set of geographies we have observed that this unique “here-and-know” data is capable of improving the credit scoring and fraud prevention algorithms employed by our clients. In simpler terms, the chances of default of a customer running a virtual machine or using the latest Apple hardware are not the same. Give the power of more data to your data science teams!

For clients capable of providing credit bureau data to Nethone through our API, we are able to mix that data to that obtained with our profiler. Our team of data scientists will then use all the different defaults we have seen on the market to provide a recommendation to either accept or deny a transaction.

In order to assess your customer's credit score, you are probably calling on various credit agencies. These calls are expensive, and in roughly 60% of the cases, you are rejecting the application for the loan! Nethone is able to sit as a first line of defense which uses only our profiler data to identify the users which you will reject after you make the other calls. Typically we able to flag roughly 20% of your traffic this way with 0% false positives!

In order to assess your customer's credit score, you are probably calling on various credit agencies. These calls are expensive, and in roughly 60% of the cases, you are rejecting the application for the loan! Nethone is able to sit as a first line of defense which uses only our profiler data to identify the users which you will reject after you make the other calls. Typically we able to flag roughly 20% of your traffic this way with 0% false positives!