KREDOR Anomaly Detection Framework!       

Anomaly Detection is often used to automaticaly detect fraud, such as financial or retail, money laundering, and other suspicous activity. The system looks for unusual sequencies of transactions.

For example, in the context of money transfer, it may look for sequences of transactions, originating in the same city, with unusual distribution of receiver country (an anomaly) along with dozens of other patterns. The possibilities are limiteless. Business managers can easily configure the system according to their business' particular challanges.

The solution integrates seamlessly with your software infrastructure due to its stadards based API and its customizability.

With our help, getting your own auto-decisioning system up and running is a breeze.

Top 5 reasons To Use KREDOR Auto-Decisioning Systems

There are many compelling reasons to use KREDOR Auto-Decisioning Systems.  These are the Top Five:

Can accomodate even the most sophisticated needs. Its original class plug-and-play design makes it utterly simple the adjust the system to any business case. Convenient API makes it very easy to integrate in any .NET system. High Performance Has high throughput.    Convenient User Interface A sophisticated user interface, which includes intellisense, can be easily developed from the provided template and given to business experts to manage. Proven Solution A number of companies have already have build highly successful solutions with KREDOR Anomaly Detection Framework. Save time and resources. Get a great rules-engine solution specific to your needs at a fraction of the cost and time it would take trying to develop an in-house solutions (which may even turn out impossible).