Mihup, a pioneering Indian Voice AI company, today announced a collaboration with Qualcomm Technologies, Inc. to co-create and take to market multilingual, enterprise-grade Voice AI solution for the Banking, Financial Services and Insurance (BFSI) sector, optimized for on-device AI platforms.
The collaboration aims to enable a new generation of secure, scalable and high-performance voice AI, where intelligence runs directly on the device, reducing dependency on the cloud while delivering low latency, stronger privacy, and reliable performance in real-world enterprise environments.
As BFSI organizations accelerate digital transformation, the need for AI-powered customer engagement has never been greater. However, cloud-only Voice AI deployments continue to face challenges around cost, bandwidth constraints, latency, and sensitive data exposure. Qualcomm Technologies and Mihup will work together to enable Voice AI that is built for regulated industries, delivering faster customer service, improved agent productivity, and better governance of critical customer data.
“In a linguistically diverse market and voice-first like India, enterprises and industries such as BFSI need secure, scalable AI to drive efficiency and financial inclusion”, said Savi Soin, Senior Vice President, India President, Qualcomm Technologies. “Our collaboration with Mihup demonstrates how on-device AI on Qualcomm platforms can bring real-time, multilingual conversational intelligence closer to users. By enabling Mihup’s vernacular Voice AI to run directly on our on-device AI platforms, we are helping deliver high-performance, secure solutions for frontline systems, thereby supporting broader financial inclusion and global scalability.”
Tapan Barman, CEO, Mihup commented on the partnership – “Mihup’s long-standing mission is to bridge the gap between humans and machines through seamless, voice-first interactions. In a market as vast as India, it requires intelligence that is both local and affordable. By merging Qualcomm’s NPU capabilities with Mihup’s proprietary voice stack – engineered specifically for vernacular and on-device usage – we have eliminated the barrier of recurring infrastructure costs. We are delivering an 80% cost reduction and total data sovereignty directly on the silicon. This is the shift from vision to production reality, providing the Indian frontline with Voice AI that is secure, instant and built to scale.”
Mihup’s Voice AI contact center solution will operate on a hybrid architecture, with its vernacular speech recognition and custom language models optimized to run on Qualcomm NPUs, enabling real-time transcription and agent to assist directly on-device. High-volume and repetitive workloads such as speech-to-text and real-time agent support will run locally, while advanced tasks can scale through cloud resources when required.
This architecture is designed to significantly reduce cloud reliance and improve cost efficiency. According to Mihup’s internal deployment analysis, shifting high-volume speech workloads on-device can reduce total cost of ownership by up to 78%, depending on scale and usage patterns. For BFSI institutions, the solution enables multilingual customer service, sales, and collections powered by real-time conversational intelligence that mirrors how customers naturally speak. By bringing intelligence closer to the conversation, it delivers quicker responses, real-time insights, and a more secure and consistent customer experience.
With commercial deployments in India acting as a proof-of-scale, the collaboration is expected to validate the on-device AI model for Voice AI adoption at enterprise scale. While built for India’s linguistic diversity and cost sensitivity, the solution will be positioned for expansion into other developing markets and regulated industries globally.
Prashant Chaudhary
An android fan and A Computer Engineer who fell in love with the world of Internet Marketing. Worked on different SEO techniques for small to large Internet properties at Initial days of my Career. I am in love with my passion for Blogging and running several blogs in variety of category.
