Gnani.ai launched a speech-to-speech large language model powered by NVIDIA’s AI platform
The model can handle over 10 Mn voice interactions daily across 14 languages
The startup trained the model on NVIDIA Hopper GPUs using over 14 million hours of conversational data
Bengaluru-based GenAI startup Gnani.ai has launched a speech-to-speech large language model (LLM) which can handle over 10 Mn voice interactions daily.
As per the company, the model is being built using NVIDIA’s AI-accelerated computing platform and supports 14 languages.
The speech-to-speech LLM was trained on NVIDIA Hopper GPUs using the NVIDIA NeMo platform for developing custom GenAI on over 14 Mn hours of proprietary multilingual conversational data.
Founded in 2017 by Ganesh Gopalan and Ananth Nagaraj, Gnani.ai currently has speech engines for 10 Indian languages. Its client base includes TVS Credit, Bajaj Group, Fibe and Muthoot Finance. The startup has filed over 12 patents to date.
“The speech-to-speech LLM is transforming the way enterprises handle their most critical customer interactions. By combining NVIDIA accelerated computing with our conversational AI expertise, we are helping businesses achieve scale and efficiency with a business impact of over $6 Bn,” said Gopalan.
The model integrates NVIDIA software including TensorRT-LLM, Triton and Riva for real-time performance.
Currently, Gnani.ai works with over 150 enterprises across India and the United States, primarily in the banking, financial services and insurance sector. The startup’s Automate365 virtual assistant helps automate customer conversations across voice, email and WhatsApp channels.
The launch aligns with NVIDIA’s increased focus on India’s AI ecosystem. At the ongoing NVIDIA AI Summit in Mumbai, CEO Jensen Huang announced partnerships with over 2,000 Indian startups including Gnani.ai to develop large language models for Indian languages.
“If India can figure out how to make a large Hindi language model then you can build it in any part of the world,” Huang said at the summit, highlighting India’s strategic importance in NVIDIA’s plans.
“If India can figure out how to make a large Hindi language model then you can build it in any part of the world,” Huang said at the summit, highlighting India’s strategic importance in NVIDIA’s plans.
India has emerged as a leader in AI adoption, accounting for 21% of global AI app downloads. The country houses more than 100 GenAI startups that have raised more than $600 Mn since 2019. Inc42 analysis projects the Indian GenAI market to reach $17 Bn by 2030.
The sector received a boost when the union cabinet approved the IndiaAI Mission with an outlay of INR 10,372 Cr over five years. The IndiaAI Datasets Platform is set to go live in January 2025.
