Featurespace wins Fintech Advance Award 2019
Featurespace has been awarded a TAG Fintech Advance Award, which recognizes innovative U.S. FinTech companies with ties to Georgia.
Unlike start-ups, ADVANCE companies are required to demonstrate that they have customers, revenues and can show with results that they are helping the financial industry move forward through innovation. The award is open to technology firms of all sizes, including large, established companies that are providing technology, growing and making a difference.
Featurespace, which joins the list for the first time, has been recognized for it's world-leading Adaptive Behavioral Analytics technology, which is being used around the world to detect and prevent fraud attacks and manage risk in banking, payments and financial services.
Featurespace opened its U.S. headquarters in Atlanta in 2017, occupying almost 7,000 square feet at the heart of Atlanta’s “Transaction Alley”.
The award comes less that 24 hours after Featurespace's ARIC Fraud Hub was names the Anti-fraud or security Solution of the Year at the FS-Tech Awards in London for a second year running, and the same week that the company's CEO, Martina King, was named Business Person of the Year at the Cambridge News Business Excellence Awards - just days after being named as one of the Most Influential Women in Payments 2019.
About Featurespace - www.featurespace.com
Headquartered in the U.K. and U.S. and with offices in Cambridge, London and Atlanta, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores transactions and other events in more than 180 countries.
Featurespace was created out of Cambridge University’s Engineering Department, co-founded by world-renowned experts in applied statistics, the late Professor Bill Fitzgerald and Dave Excell, Featurespace CTO.
The ARIC platform combines Adaptive Behavioral 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 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.