70 finalists for the Emerging Payments Awards have been announced at the EP@Home Summer Party in London on July 2nd.
Cybertonica was named a finalist in the category “Best Technical Service Organisation supporting Emerging Payments” for the judging of the Emerging Payments Awards 2019. Other companies named include world-leading payment companies.
Organised by the Emerging Payments Association (EPA), the Emerging Payments Awards recognises and celebrates the best technology and initiatives that the payments industry has to offer. The EPA will hold the black-tie ceremony on October 3rd 2019 at InterContinental London – The O2. You can book a table here to join us at the ceremony.
We look forward to seeing you at the Emerging Payments Awards 2019!
About Cybertonica
Cybertonica uses Machine Learning and Artificial Intelligence to manage risk and fraud, increasing trust and growing frictionless banking and m/e-payments globally. Cybertonica’s service increases conversion and sales by up to 25% while managing card-not-present and other categories of fraud at world-class compliant standards. Our goal is to build Trust in TransactionTM.
Cybertonica has won numerous distinctions and awards since its product came to market, including the “Best Use of Payments Data Award” at Emerging Payments Awards 2018 and the “Best Data Analytics and Science Award” at Merchant Payments Ecosystem Awards 2018. Cybertonica also was named finalist for the “FinTech Start-up of the Year Award” at EWPN Awards 2019 and received the “Best New Back Office Innovation Award” at the Emerging Payments Awards 2017.
Our new ScreenWiZe™ product adds device risk management through SDKs (iOS and Android) to the mobile authentication and malware prevention capabilities of our customers whether banks, acquirers, merchants or transactions security. We are PSD2 ready and GDPR compliant. Cybertonica’s vision is for a world of frictionless transaction and trust in 99.9% of transactions. Visit cybertonica.com to join us and build the future of Trust in TransactionTM.
