Gnani.ai (Inya VoiceOS)
Enterprise voice AI for India, now with its own foundation model
Overview
Gnani.ai builds enterprise voice AI for Indian contact centers and government, running Inya VoiceOS — a 5-billion-parameter voice-to-voice model spanning 12+ Indic languages — plus speech-to-text/text-to-speech and voice-biometric authentication for 200+ enterprise clients.
What you can produce with Gnani.ai (Inya VoiceOS)
- Voice-to-voice foundational model (Inya VoiceOS, 5B parameters)
- Speech-to-text and text-to-speech tuned for 12+ Indic languages
- Voice biometric authentication (Armour365)
- Omnichannel contact-center automation (calls, chat, SMS, email)
- In-India data center deployment for data residency
- Real-time agent assist and conversation analytics
ASEAN Perspective
Gnani.ai (Inya VoiceOS) in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Gnani.ai has been building Indian-language voice AI since well before the current wave of LLM hype, and it shows: Inya VoiceOS processes speech natively rather than chaining ASR, an LLM, and TTS together, cutting the latency that makes most voice bots feel robotic. The company says it handles over 30 million voice interactions a day across 12-plus languages for 200-plus enterprise clients, and a $10M Series B tranche from Aavishkaar Capital in 2026 is funding a move toward a 14-billion-parameter flagship model. One Gartner Peer Insights reviewer called the voice interface "human like... not robotic," which lines up with the pitch. This is not a self-serve tool — expect a sales call, custom integration, and enterprise pricing, and coverage outside Indic languages is thin. For BFSI, telecom, or government deployments needing multilingual Indian voice bots with data residency, it's one of the more credible regional options; for anyone wanting a quick API key, look elsewhere.
What people say
Gnani.ai is a Bengaluru voice-AI company that has raised $17.7 million across six rounds, including a $10 million Series B tranche led by Aavishkaar Capital in 2026 with Info Edge Ventures returning as an investor. It says its systems process more than 30 million voice interactions daily across 12-plus languages, with 200-plus enterprise clients and Inya products used by over 150 organizations.
The headline product is Inya VoiceOS, unveiled at the AI Impact Summit 2026 as a research preview: a claimed 5-billion-parameter voice-to-voice foundational model that works directly on acoustic and semantic layers instead of stitching together separate speech-to-text, LLM, and text-to-speech stages. Gnani frames this as removing the translation lag that makes most voice bots sound stilted, and positions it as a step toward a larger 14-billion-parameter flagship. Alongside it sits Vachana, the company's STT/TTS layer tuned for Indic languages, and Armour365, a voice-biometrics module for call-center authentication — all pitched as deployable in Indian data centers for data-residency requirements.
On Gartner Peer Insights, where Gnani.ai's Assist365 and Armour365 products are listed under contact-center and speech-analytics categories, one reviewer wrote the platform provides a "human like voice interface... not robotic" and praised multi-language support for standing up voice bots across different business functions. That's consistent with the company's pitch, though review volume on independent platforms is thin compared with global voice-AI vendors — most visible evidence is Gnani's own case studies and press coverage of funding and product launches rather than a deep bench of third-party reviews.
No public pricing is available for Inya VoiceOS, Assist365, or Armour365 — this is enterprise software sold through direct sales, and deployments (banking, telecom, government) skew toward large accounts rather than small teams. Government backing behind the India AI Mission gives it institutional credibility domestically, but it also means the product's center of gravity is India-specific; teams outside Indic-language markets have little reason to evaluate it over global voice platforms with broader language and integration ecosystems.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Gnani.ai (Inya VoiceOS)'s official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Gnani.ai (Inya VoiceOS) unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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