‘Global models lack support for low-resource local languages’: Gnani.AI’s Bharath Shankar shares India advantage

Having built speech models for Indic languages, Gnani.AI has developed full-stack capabilities with its own platforms, applications, and proprietary technology. Bharath Shankar, Co-Founder & Chief Product and Engineering Officer, tells Ojasvi Gupta that large global models are limited because they are not optimised for local requirements.

How do you handle linguistic diversity in India?

To address diversity, we have accumulated petabytes of audio data through proprietary and crowd-sourced channels. This data includes a wide mix of accents, genders, and age groups, which helps in building more accurate and inclusive models.