Auraya Events Calendar

Auraya Attending Biometrics Institute Member Meeting in London

Angelo Gajo | February 25, 2020 | 2 minutes


Co-founder and Chief Technical Officer, Dr. Clive Summerfield, will be attending the upcoming Biometric Institute Member Meeting in London this February 28 from 9:30AM to 1:00PM. Members and non-members of the Biometric Institute will continue to discuss updates and activities regarding topics surrounding biometrics, such as privacy, with confirmed speakers from Her Majesty’s Revenue & Customs (HMRC), Yoti, University of Buckingham, Innovatrics and TOC Biometrics S.A.

If you are an existing member at the Biometric Institute, registrations are free. If you are a non-member and would like to attend the event, you can register for a small fee by sending an e-mail to If you’d like to connect with Dr. Clive Summerfield and the team at Auraya during the meeting, send us an e-mail at to set up meeting details.

Event: Member Meeting London
Presented by: Biometric Institute
Location: South Bank, London
Date: February 28, 2020
Time: 9:30AM to 1:00PM

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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