15 August 2019

Featurespace named as one of Europe’s best in the European Business Awards' ‘Ones to Watch’ list

Featurespace, the world's leading provider of Adaptive Behavioral Analytics technology for fraud and risk management, has been named as ‘One to Watch’ in Europe, in a list of business excellence published by the European Business Awards, one of world’s largest and longest running business competitions.

Featurespace was chosen as it demonstrates exceptional achievement in one of the 18 European Business Awards’ categories and reflects the program's core values of innovation, success and ethics.

The ‘Ones to Watch’ for 33 countries across Europe can be found at www.businessawardseurope.com.

Featurespace’s real-time, ARIC™ platform uses Adaptive Behavioral Analytics to detect anomalies in individual behaviour for fraud and risk management.

Adrian Tripp, CEO of the European Business Awards, said: “The companies chosen as ‘Ones to Watch’ are the most inspirational, successful and dynamic in Europe”

He continued: “The talent and tenacity at the heart of these businesses creates jobs and drives Europe’s prosperity. This ‘Ones to Watch’ list of excellence is a benchmark of success for the rest of the European business community.”

For more information about the competition please go to www.businessawardseurope.com

For further press information or for case studies/interviews, please contact:

Rebecca Lewis
Head of Marketing 

Vanessa Wood at the European Business Awards
+44 (0) 796 6666 657
E-mail: vanessa.wood@businessawardseurope.com 

About Featurespace:

Headquartered in the U.K. and U.S. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention and AML transaction monitoring, and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores events in more than 180 countries.

The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. The increased accuracy of understanding behaviour strikes the balance between improving fraud and risk detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined due to traditional rules by as much as 70 percent.