With AVA, Mihup Redefines In-Car Voice AI for India’s Multilingual Drivers

Kolkata, Dec 09 : In India’s rapidly evolving mobility landscape, Mihup is emerging as a category leader with Mihup AVA, its multilingual, accent-agnostic in-car voice assistant. With capabilities that shine even inside noisy cabins and among mixed-language speakers using regional dialects, AVA Auto enables natural, hands-free control of navigation, entertainment, communication, and cabin settings. Thanks to its offline support and deep personalization, the assistant brings voice AI directly into vehicles, making driving safer and more intuitive for Indian users.Already deployed in over one million vehicles nationwide, AVA powers voice experiences for multiple leading automakers, including Tata Motors. Its advanced features, multi-intent dialogue, voice biometrics and mood-based wellness support position it far ahead of generic global assistants.

Beyond automotive, Mihup’s technology is powering India’s digital transformation by making AI inclusive, accessible and linguistically representative. Its voice models support multiple Indian languages, enabling millions of users especially from non-English-speaking regions to engage with technology more confidently. With over a billion processed voice interactions, strong data security certifications and deep partnerships across mobility and enterprise sectors – Mihup is accelerating India’s vision of human-centric, locally trained AI solutions.

“Indians don’t just speak one language or in one accent. said

Tapan Barman, Co-founder & CEO of Mihup. Speaking on the future of in-car AI, he also added “Our mission is to make technology adapt to people, not the other way around. With AVA, we’ve built a voice assistant that understands India’s linguistic diversity and driving environment, delivering a natural and reliable experience every time.” With over a billion processed voice interactions, robust data security certifications and strong automotive partnerships, Mihup is shaping the next phase of human–machine communication in India’s mobility ecosystem.”