50

Out of 100

N/A

Post-money

$6M

All rounds

50/100

2016

50-200 employees

March 2026

Mihup is a conversation intelligence platform specializing in speech recognition and NLP for Indian languages, offering real-time call analytics, voice search, and speech-to-text capabilities tuned for Indic accents and multilingual code-switching common in Indian call centers. The platform serves BFSI, telecom, and retail customers that operate large vernacular customer support operations.\n\nThe

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B

Biplab Kumar Jha

Founder & CEO

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StageSeries A
Employees50-200
Country🇮🇳 India

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Series A · No public funding round data available yet.

Frequently Asked Questions

What is Mihup's valuation?
Mihup's valuation is not publicly disclosed.
Who invested in Mihup?
Investor information for Mihup is not publicly available at this time.
When did Mihup last raise funding?
No public funding round data is currently available for Mihup.
How many employees does Mihup have?
Mihup has approximately 50-200 employees.
What does Mihup do?
Mihup is a conversation intelligence platform specializing in speech recognition and NLP for Indian languages, offering real-time call analytics, voice search, and speech-to-text capabilities tuned for Indic accents and multilingual code-switching common in Indian call centers. The platform serves BFSI, telecom, and retail customers that operate large vernacular customer support operations.\n\nThe company raised approximately $6M in Series A funding and has built proprietary speech models for Bengali, Hindi, and other regional languages that outperform global ASR providers on Indian accent benchmarks. Mihup's products are deployed in production contact centers processing high daily call volumes.\n\nAccurate speech AI for Indian languages remains an underserved technical problem given the phonetic diversity and code-switching patterns of Indian speakers. Mihup's focus on this specific challenge, combined with years of proprietary training data collected from real call center environments, gives the company a technical moat that is difficult for English-first global vendors to replicate quickly.