https://store-images.s-microsoft.com/image/apps.55954.b73f4bf1-d0c3-49f7-8ee1-45a8b56862fd.388a6c82-957e-4576-ac20-b5af6cd4668e.d6e33f79-0016-44b8-937c-e5d71c2341cd

Armour365: AI-powered Voice Biometrics

Gnani Innovations Private Limited

Armour365: AI-powered Voice Biometrics

Gnani Innovations Private Limited

Engineered to offer a touchless voice biometrics based authentication medium

Traditional identity verification and authentication systems in Customer Service machinery require users to provide PINs, dates, and passwords. This age-old method can be a cumbersome process often leading to a frustrating experience. AI-based Voice Biometrics Technology can help customers, employees and other categories of users access secured systems by simply using their “Voice”.


Our biometrics solution has been engineered to offer a highly secure, convenient, and seamless authentication medium for your customers. armour365 compares various elements and patterns from a user's voice, such as pitch, dialect, and tone. With the ability to automate ‘conventional verification processes’, armour365 can significantly bring down contact center costs and enhance customer satisfaction levels.


WHY armour365?

  • Authenticate in < 2 secs
  • Easy-to-integrate across devices and CRM systems
  • Available on various deployment models/channels
  • Flexible pricing plans

KEY FEATURES

  • Language and text-independent: Recognizes unique voice patterns, phrases, and accents.
  • Highly secure and privacy compliant: Scans over 140 features of the human voice, making verification highly accurate.
  • Performance Optimization: Customers can self-serve and authenticate without engagement with a live agent.
  • Anti-spoofing Layer: Backed by a DNN-based algorithm to counter voice conversion, replay attacks, and voice synthesis 

https://store-images.s-microsoft.com/image/apps.58368.b73f4bf1-d0c3-49f7-8ee1-45a8b56862fd.388a6c82-957e-4576-ac20-b5af6cd4668e.aec9c617-8053-4822-b949-b09a12ee2192
https://store-images.s-microsoft.com/image/apps.58368.b73f4bf1-d0c3-49f7-8ee1-45a8b56862fd.388a6c82-957e-4576-ac20-b5af6cd4668e.aec9c617-8053-4822-b949-b09a12ee2192