Gnani.ai
Bengaluru voice AI for Indian contact centres, now with its own models
Overview
Gnani.ai (Gnani Innovations Pvt. Ltd., Bengaluru, 2016) builds speech and language models for Indian languages: Prisma speech-to-text, Timbre text-to-speech, Warp speech-to-speech and Evon v3.3, a 30B open-weights LLM. It sells voice agents, call analytics, agent assist and voice biometrics to banks, insurers, telecoms and government.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Cloud, private cloud, on-premise or air-gapped deployment
- Speech-to-text, text-to-speech, voice agents and real-time translation
- SOC 2 Type 2, ISO 27001, HIPAA and GDPR (vendor-stated)
What you can produce with Gnani.ai
- Prisma v2.5 speech-to-text for noisy 8 kHz call audio, with speaker diarization
- Timbre v2.5 text-to-speech (beta) with streaming and voice cloning APIs
- Warp v2.0 speech-to-speech model for real-time telephony agents
- Evon v3.3, a 30B language model for 11 Indian languages (Apache 2.0, weights on request)
- Voice agents for collections, support, KYC and lead qualification
- Call analytics, real-time agent assist and passive voice biometrics
- Cloud, private-cloud, on-premise or air-gapped deployment
Gnani.ai is one of the more credible Indian-language voice vendors: it trains its own speech models on telephone audio, ships a documented developer API, and can deploy on-premise or air-gapped, which matters to RBI- and IRDAI-regulated buyers. The 2026 rebrand, with Inya and Vachana becoming Warp, Prisma and Timbre, and the August launch of the Artha sovereign stack show momentum.
The headline numbers are Gnani's own, and its pages disagree with each other on scale. There is no public price, so expect a demo-led sale, and the IndiaAI-backed 14-billion-parameter voice model is still a plan rather than a product.
What we found
Gnani.ai is a Bengaluru voice-AI company, operated by Gnani Innovations Pvt. Ltd., that has been building speech technology for Indian languages since 2016. Ganesh Gopalan (CEO) and Ananth Nagaraj (CTO) co-founded it, and its site lists Bharath Shankar as a third co-founder. Its customers are mostly banks, insurers, telecoms and government bodies, which buy collections, support and KYC voice agents, call analytics, agent assist and passive voice biometrics.
The product line was renamed during 2026. The Inya, Vachana and Armour365 names have left the website, and inya.ai now redirects to gnani.ai. The models are now Prisma v2.5 for speech-to-text, Timbre v2.5 for text-to-speech (still in beta), Warp v2.0 for speech-to-speech, and Evon v3.3, a 30-billion-parameter language model for 11 Indian languages that Gnani says is released under Apache 2.0, with weights on request. Gnani calls Warp India's first 5-billion-parameter speech-to-speech model, the same claim made in February 2026 for Inya VoiceOS, which was shown as a research preview at the India AI Impact Summit. The IndiaAI Mission selected Gnani in May 2025 to build a 14-billion-parameter voice model; that model has not been released. On 28 August 2026 the Vice-President of India launched Gnani Artha, a sovereign stack combining Evon with an agent platform called Plexus.
Gnani's scale figures disagree with each other. Its homepage says 50 million daily voice interactions and more than 250 enterprises, while the FAQ on another page says 30 million and more than 200. Benchmark leads such as first place in eight of nine Indian languages come from Gnani's own tests, and we could not read an independent review score.
In March 2026 Gnani announced a $10 million first close of a Series B led by Aavishkaar Capital, with Info Edge Ventures returning. There is a documented developer API but no published price list, so expect a demo first. The best fit is Indian-language contact centres that need on-premise or air-gapped deployment.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Gnani.ai's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Gnani.ai 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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