Speaking with the TechGraph, Ganesh Gopalan, CEO & Co-founder of Gnani.ai said, “AI-based voice applications are still at a very nascent stage, but we believe we’re heading towards a digital future that’s going to witness an exponential rise.”
Here is full expect:
TechGraph: Before we start the interview. Can you please let our readers know more about Gnani?
Ganesh Gopalan: Gnani.ai is a Conversational AI company that offers omnichannel customer support automation and analytics solutions. Our solutions range from AI-powered Virtual Assistants for various channels such as Telephony, Email apps, chat, etc. We support 20+ languages globally including multiple dialects of English.
Our products and solutions can be deployed across industries ranging from Contact Centres to E-commerce for end-to-end automation. Gnani is probably the only start-up in the Conversational AI space to have built in-house Automatic Speech Recognition (ASR) engines for multiple languages.
TechGraph: What was the idea behind the launch of Gnani? And how it all got started?
Ganesh Gopalan: Even though the industry witnessed an increase in technological advancements there wasn’t much happening on the voice and speech-based NLP. We built speech recognition and voice-based NLP systems which guaranteed a high level of accuracy and ease of use.
We initially started with just voice technologies but today we support automation and analytics in multiple speeches and text channels. We are one of the first four Indian firms to secure an investment from Samsung Ventures and have been growing exponentially.
Today we are working with some of the best and the leading companies in the banking, insurance, e-commerce, FMCG, and financial services space and are the preferred AI vendor of choice for customers across multiple domains.
TechGraph: What are the industry challenges you have observed that coerced you to jump into the voice-based service?
Ganesh Gopalan: AI-based voice applications are still at a very nascent stage, but we believe we’re heading towards a digital future that’s going to witness an exponential rise. AI-enabled voice-based applications and services will be the first medium of human-machine interaction.
Companies were investing millions to create AI voice assistants but somehow their reach was limited because of the language constraint. That’s when we started building high-quality ASR models for multiple languages, and NLP processing layer that can handle contexts in local languages, and a natural human-sounding TTS.
Source- The Telegraph
