EVENTS

Auraya Attending 2019 Biometric Summit London

London view sunset

Auraya will be attending the 2019 Biometric Summit event in London as Silver Sponsors with founder and CTO Clive Summerfield in attendance. The event will take place in Rise London on November 20 and will go from 9:15am to 6:15pm.

The event brings together speakers and delegates for a thought leading and educational event through enlightening talks, panels and workshops. The key themes for the event are biometric authentication, legal and regulatory considerations for using biometric technology, building the bank of the future, biometric commerce and digital onboarding and biometrics – beyond authentication.

If you’d like to meet and chat with the team at Auraya during this event, send us an email to organise a meeting on the day! There is still time to register for the event by following this link.

Event: Biometric Summit London 2019
Presented by: Goode Intelligence
Location: Rise London, London
Date: November 20, 2019
Time: 9.15AM to 6.15PM
Link: https://www.goodeintelligence.com/london-2019/

About Auraya

Auraya is a world leader in voice biometric technology with the mission of empowering people and organisations to interact and engage with convenience and security in all channels and languages.

Auraya has developed the next-generation voice biometrics technology that delivers an easy to use yet highly secure authentication capability. Auraya provides its technology to a global network of partners that incorporate Auraya’s voice biometric engine, ArmorVox™, into their secure, customer-facing applications and fraud detection solutions. The ecosystem of partners delivers solutions in all industries including government, education, healthcare, financial services, retail services and telecommunications.

ArmorVox is Auraya’s next-generation voice biometric engine designed for telephony and digital channel implementations. ArmorVox allows partners to provide frictionless and seamless customer experience and improved digital security using machine learning algorithms and patented features such as automated tuning process, speaker-specific thresholds and background models, impostor mapping, synthetic voice detection and voice collection process from browsers.

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