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The Frontier
Voice AI Company

The world builds for studios. We build for the real world.

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Sovereign Voice AI trusted by the global ecosystem

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NVIDIA
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Equitas Small Finance Bank logo with stylized text and an arc above.
Logo with the word televox in bold black lowercase letters.
EarlySalary company logo with stylized ES letters in a square icon.
Concentrix company logo in bold black lowercase letters.
Bank of Baroda wordmark logo in bold italic black font on white background.
Horsepower Financial Services logo with a stylized horse head and checkered flag.
Intel logo in black lowercase letters on white background.
Cisco company logo with stylized vertical bars above the text.
Samsung brand name inside a tilted black oval shape.
Concentrix company logo in black letters with a green dot above the letter x.
Samsung logo next to text saying Samsung Venture Investment in black on white background.
Amazon Web Services (AWS) logo with lowercase letters and a curved arrow below.
Microsoft logo with four colored squares and black text.
Allianz company logo
Google logo with black, brown, and dark green letters on a white background.
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NVIDIA
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Frontier models shaping the future of voice

Trained on reality. Deployed in sovereignty.

W
Gnani Warp v2.0
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Speech to Speech

India’s first foundational 5-billion-parameter model built to process speech-to-speech directly.

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Gnani Prisma v2.5
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Speech to Text

#1 in 8 of 9 Indian languages on Kathbath Noisy 8kHz. Trained on 14M+ hours of real telephonic audio.

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Gnani Timbre v2.0
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Text to Speech

Natural-sounding synthesis in 21+ languages with context-aware tone: empathetic in support, assertive in collections.

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Gnani Aion v3.2
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Language Models

Enterprise-scale reasoning with deep domain calibration including BFSI, insurance, healthcare, and telecom.

The world's most powerful models, now in your hands

The same models powering 200+ enterprise deployments available via API in minutes. STT, TTS, and voice agents in one platform. No third-party dependencies.

<200ms P95
Latency
Ranked #1
On IndicToolBench*
<20mins
To go-live

*Internal Benchmark

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The gap between the lab and the real world is measurable

14M+

Trained Where Others Don't Go

The only Voice AI foundation model trained on 14 million hours of telephonic audio across 40+ languages, engineered to deliver the accuracy and resilience that enterprise voice deployments demand.

Gnani
14M hrs
Industry typical
~1M hrs
8/9
Languages · Noisy benchmark

#1 Real-World Telephony

Independent benchmarks confirm Gnani AI leads across 8 of 9 Indian languages on actual call-center audio; not studio recordings. The accuracy gap widens as conditions get harder.

30M+
Daily voice interactions

Production at Global Scale

30 million voice interactions every day. 200+ enterprises across banking, government, and healthcare. Not pilot deployments; production systems handling real conversations where errors cost real money.

37.99%
BFCL v3 · Ranked #1

Outperforms General AI on Voice

Gnani Aion v3.2 scores 37.99% on Berkeley BFCL v3; the global benchmark for agentic function calling. That is +8.4pp over GPT-4o-mini and +7.6pp over Claude Sonnet 4.

Voice AI that drives real-world outcomes

200+
Enterprises
$10B+
Customer impact
40+
Languages
30M+
Interactions/day

Agents

Voice agents for collections, customer service, KYC, and outbound - built on your workflows, deployed in days.

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Analytics

Omnichannel analytics and quality assurance that turns interactions into customer delight.

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Biometrics

AI-powered voice authentication. Replace passwords, PINs, security questions with a voiceprint that verifies customers in seconds.

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Assist

AI co-pilot for customer service teams. Sub-500ms hints, compliance prompts, and next-best-action delivered inside the live call.

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Talk to our voice agent

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The proof is one call away.

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The Frontier Voice AI platform

Every layer of the stack. Owned by us.

Integration + Insights

Workflow automation · Live agent guidance · Conversation intelligence

Agents + Analytics

Enterprise voice agents · Conversation analytics

Application Studio

Build, configure, and deploy voice applications at scale

Voice Intelligence

Cloning · Biometrics · Avatars · Derived capabilities built on frontier models

Frontier Voice AI Models

ASR · TTS · Language Models  ·  #1 on BFCL v3  ·  14M+ hrs telephony data
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Deploys on any environment
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Cloud
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Private Cloud
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On-Premise
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Air-Gapped

Hear how enterprise voice AI is being redefined

Gnani AI stands out because of its human-like Voice Agents and low latency - unmatched when it comes to real world calling conditions. It's a great fit for the custom workflows that a small finance bank like ours would require for various use cases across multiple business lines. Looking forward to what’s ahead with Gnani AI.

Smitha Kumar
Head - Customer Experience

We chose Gnani AI because they built their Voice AI stack for the real scenarios. Their speech and language models are built in-house, and that technical depth shows up in production. The results on our inbound customer support use case have been very promising and we are looking to expand further.

Akhil Duggal
Head of Digital Transformation

Two years in, Gnani AI continues to impress at every stage of its evolution. Their models handle Indic language coverage and natural nuances exceptionally well, and we're now leveraging their end-to-end Voice AI across multiple business use cases. This is a partnership that will accelerate our business in the years to come.

Selvendran S
Associate General Manager

With 30 years in healthcare and pharma and a 10,000+ customer base, TeleVox takes platform decisions very seriously. We evaluated multiple players before choosing Gnani AI for building our omnichannel Voice Assistant. Their frontier models, ease of integration, and customer support have simply stood out.

Kamal Anand
Chief Product Officer

We're seeing high accuracy from Gnani AI's technology, translating into real benefits: higher customer satisfaction, cost savings, and faster adoption. Currently leveraging Agent Assist, Voice Agents, and Voice Biometrics, we are now rolling them out to our global customers and in-house use cases.

Vivek Bansal
Managing Director, India

Gnani AI's customer centricity is second to none. Their Voice Agents and Biometrics were production-ready and the models delivered. The results in just 6 months prove it: strong cost savings, higher customer satisfaction, and the Best AI Bank award - with five of the six awards for our contact center transformation with Gnani AI.

Vipin Bhat
General Manager

After launching India's first salary card, we chose Gnani's Voice AI to engage customers post-transaction. Almost immediately, we noticed the humane tone of the AI - seamlessly handling queries and achieving a connect rate of over 85%. We look forward to scaling our AI journey with Gnani.ai.

Farooq Patel
Head CX & Sales
Smitha Kumar
Akhil Duggal
Selvendran S
Kamal Anand
Vivek Bansal
Vipin Bhat
Farooq Patel

Your data, your standards

Every deployment, every conversation, secured to the standards you demand.

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Trusted by 200+ enterprises globally

gyaa · ni

Intelligence that truly listens.

For forty thousand years, knowledge traveled one way: spoken, heard, understood. The Vedas - carried by voice for three millennia before anyone wrote them down - gave us a word for the intelligence this required.

Jñāna: the Sanskrit root of deep knowing. Not information processed. Understanding, possessed. The one who held it was called Gyaani. The Knowing One.

We are Gnani (gyaa·ni). We build intelligence that listens - truly, deeply, and without exception - in every language, every environment, for every person on earth.

FAQs

Everything you need to know about Gnani's Voice AI platform, models, and deployment.

What is Gnani.ai?

Gnani.ai is a frontier Voice AI company that builds proprietary speech and language models for enterprise deployments. Its model stack includes Gnani Prisma v2.5 (Speech-to-Text), Gnani Timbre v2.0 (Text-to-Speech), Gnani Warp (Speech-to-Speech), and language models Gnani Aion and Gnani Evon. Enterprise products built on these models include voice agents, speech analytics, agent assist, and voice biometrics. Gnani's models are trained on 14 million hours of telephonic audio across 40+ languages and serve 200+ enterprises in banking, insurance, healthcare, and government — processing over 30 million voice interactions daily.

What is frontier Voice AI?

Frontier Voice AI refers to foundational models built natively for voice — not adapted from general-purpose language models. Gnani.ai's models are trained on 14 million+ hours of real telephonic audio, achieving a #1 ranking on Berkeley BFCL v3 at 37.99% accuracy for agentic function calling, and top performance across 8 of 9 Indian languages on the Kathbath Noisy 8kHz benchmark. The full model stack — STT, TTS, and language models — is developed entirely in-house with no dependency on third-party model providers.

Why choose Gnani.ai over general-purpose AI providers for enterprise voice?

Gnani.ai is purpose-built for telephonic-grade voice, where general-purpose AI models underperform. Most AI speech models are trained on clean studio audio; enterprise voice involves background noise, regional accents, and code-switching. Gnani's models are trained on 14 million hours of exactly that audio, ranking #1 on 8 of 9 Indian languages on the Kathbath Noisy benchmark. Gnani also supports on-premise, private cloud, and air-gapped deployment — a requirement for regulated industries that has made it the choice of 200+ enterprises.

Which languages does Gnani.ai support?

Gnani.ai's speech models support 40+ languages and dialects, with deep coverage across Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Gujarati, Marathi, Punjabi, and Spanish. Models are trained on multilingual and code-switched audio, enabling reliable transcription and synthesis in real conversations where speakers shift between languages — a common pattern in Indian enterprise environments across BFSI, telecom, and customer service.

How does Gnani.ai handle data privacy and regulatory compliance?

Gnani.ai supports cloud, private cloud, on-premise, and air-gapped deployment, giving enterprises full control over where voice data is processed and stored. This architecture meets data residency requirements for regulated industries including banking (RBI), insurance (IRDAI), and healthcare. No customer voice data is used for model training without explicit agreement. Gnani is SOC 2 certified, ISO 27001 certified, and compliant with GDPR, HIPAA, and PCI-DSS.