Mihup

AI-enabled speech recognition platform built for Indian vernacular languages rather than adapted from English-first systems.

Ability to understand code-mixed speech (e.g. Hindi+English "Hinglish") is a patented differentiator.

AVA combines on-device (edge) privacy with cloud Gen AI intelligence in a dual hybrid architecture.

In-car voice assistant (AVA) deployed with automotive manufacturers for infotainment and vehicle control.

Conversation-intelligence customers spanning automotive, contact centers, banking/financial services, retail and healthcare.

Clients in the automotive, banking and insurance sectors.

Customer testimonial cites ongoing hands-on support through implementation.

Interaction Analytics integrates with CRM platforms to pull customer context and push conversation insights back into those systems.

Connects to contact-center dialers/telephony platforms to ingest call audio and metadata directly.

Flexible deployment lets enterprises layer Mihup onto their existing tech stack.

Built-in workflows assign targeted training and support data-backed performance evaluations from analyzed calls.

Proprietary speech recognition built for India's languages, accents and noise conditions rather than adapted from English-first models.

A large language model fine-tuned on BFSI-specific conversations to interpret intent, tone and empathy, not just keywords.

Quote from Baburao Rane, TAMO Technology Development Specialist – Tata Motors, on the mihup.ai product page.

Quote from Prathab Deivanayagham, Ex MD & Country Head – Harman India, on the mihup.ai product page.

Selected under MG Motor's developer program to explore in-car voice technology.

Collaboration (announced Feb 2026) to develop and commercialize on-device multilingual Voice AI for BFSI, running core speech processing on Qualcomm NPUs instead of relying on the cloud.

No published pricing; customers request a tailored quote per product rather than self-serve subscription tiers.