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Featurespace Pricing & Demo
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60 Buyers Negotiating
Featurespace USP
Featurespace has worked on machine learning technologies to help detect frauds in banks among various countries and has stood out as a prominent leader in the field. Machine learning as a tool is employed to monitor all the profiles made by customers in real-time and detect any anomalies possible over different transactions. Any financial risks are significantly reduced, and transaction frauds are also limited. Request
Featurespace Pricing to get more information.
Summary
ARIC Risk Hub™ is a real-time, machine learning software solution which uses unique Adaptive Behavioural Analytics to understand each individual customer and prevent fraud attacks.
Features of Featurespace are:
Features of Featurespace are:
- Adaptive Behavioral Analytics- Featurespace’s creation, this system allows them to work with financial industries as their assets to solve massive problems.
- ARIC Risk Hub- This system offers seven machine learning solutions to fraud mechanisms, including analysts to spot suspects and alert with justifiable anomaly detection.
- Rich Experience- Working in several countries with financial giants, Featurespace has acquired expert level hand at working out frauds.
Discussions
Discussions (1)
Buyer
Paul Aroso's requirement
17/06/2021
"For Fraud Prevention, Detection and real time transaction monitoring."
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Featurespace Presence in
Fraud Detection Software
Featurespace's ARIC Fraud Hub has proven beneficial for clients in the gaming and payments verticals, and is making progress in the insurance vertical as well. Its growth has been global, particularly across the UK, Europe, and the US. The company has used its investment capital to accelerate sales, and grown both its sales and reputation in a competitive market. According to a Nielsen 2016 report, the global card industry is losing USD 22 billion per annum due to frauds. Featurespace’s ARIC platform can save a sum of USD 16 billion annually for the global card payments industry by reducing fraud losses and associated costs for managing fraud. It also helped the global card industry to reduce false positives and improve operational efficiency, according to the Oakhall Report, 2016.
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