The Frontier Voice AI Platform For Enterprises
200+
30M+
$10B+
60%
Trusted by leading enterprises globally




























One platform. Every voice touchpoint. At production scale.
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Own Every Layer of the Conversation
Agents


Analytics


Biometrics


Assist


Designed around you


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.
We chose Gnani 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.
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.
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.
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.
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.
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.





Plug and Play Integrations






























FAQs
Everything you need to know about Gnani's Voice AI platform, models, and deployment.
How is Gnani AI different from traditional IVR systems and voice bots?
Traditional IVRs rely on predefined flows and struggle with complex conversations. Gnani's AI agents understand intent, handle interruptions and switch languages naturally. This drives outcomes across real-world customer interactions.
Can Gnani AI work with our existing contact centre and enterprise systems?
Yes. Gnani integrates with existing telephony infrastructure, CRMs, contact centre platforms, workflow tools, and enterprise applications, allowing teams to deploy AI without replacing their current systems.
Can enterprises deploy Gnani AI within their own infrastructure?
Gnani AI supports cloud, private cloud, on-premise, and air-gapped deployments, giving enterprises the flexibility to meet security, compliance, and data residency requirements.
How does Gnani AI support multilingual customer interactions?
Gnani AI is built for multilingual and noisy real-world environments, supporting 40+ languages and delivering production-grade performance across telephony and enterprise communication channels.
What business outcomes can enterprises achieve with Gnani AI?
Enterprises use Gnani AI to automate customer interactions, improve agent productivity, strengthen identity verification, reduce operational costs, increase resolution rates, and gain actionable intelligence from every conversation. Enterprises typically see a 60% reduction in their Contact Center OpEx, after deploying Gnani AI.


