AI-based Outlier Detection Platform


An enterprise data management firm was looking for a better way to find outliers in fixed income data. These included incorrect prices, ratings and other data fields. It had tried to manually build a series of rules to analyze the data, a time intensive process. Despite this, too many anomalies were slipping through. The firm thought that ML techniques could help, but did not have the expertise on staff to try them.


DataArt developed a state-of-the-art outlier detection platform based on machine learning technology. The system automatically ranks potential anomalies and brings the most likely outliers to the top of the list in real-time.

The resulting technology is easily adaptable to other uses, such as exception management, trends detection, fraud detection, etc.


ML System Detects A Wider Range of Outliers

Outsourcing was quicker and cheaper than building internal ML team

ML System Specifically Designed to Minimize Maintenance Costs

Enhanced Customer Experience due to Higher Data Quality

Fewer data quality investigations

We are glad you found us
Please explore our services and find out how we can support your business goals.
Get in Touch Envelope