Featurespace Ranks 36th on the 2020 Sunday Times Sage Tech Track 100
For the third consecutive year, Featurespace has been announced as one of Britain’s fastest-growing technology companies, ranking 36th in the latest Sunday Times Sage Tech Track 100. This year, the list celebrates its 20th anniversary and highlights the important contribution technology companies have made to the U.K. during the pandemic.
In a year of unprecedented change, Featurespace’s Adaptive Behavioral Analytics have protected financial institutions from fraud and financial crime amidst the major shifts in consumer behavior.
The ranking on Sunday Times Sage Tech Track 100 is the latest success for Featurespace in 2020. In May, the completion of a £30 Million funding round helped further its efforts in the Asia Pacific region and in June, the company expanded its global presence with Australian fintech, Hay. Also, in response to evolving fraud and financial crime, Featurespace has continued enhancing ARIC Risk Hub to ensure its customers receive optimal, market-leading acceptance rates so that they can focus on protecting their own customers.
The UK’s fastest-growing technology companies grew their combined sales by an average of 94% a year over three years to £2.3bn, according to Sunday Times Sage Tech Track 100.
The dominant industry is B2B software and 77 of the featured companies have secured equity investment from private equity or venture capital, placing Featurespace in esteemed company.
Discover the ARIC Risk Hub
The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen.
About Featurespace – www.featurespace.com
Headquartered in the U.S. and U.K. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention 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 behavior 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 by as much as 70 percent.
Michael Touchton, Featurespace
U.S. Marketing Manager
+1 (423) 364-5491