Foundation speech models, orchestration infrastructure, and production voice agents engineered for global languages and the next 4 billion voice-first users.
Trusted by teams in banking, lending, insurance, real estate, healthcare, logistics, and global system integrators.
Language is what's left after the world has been compressed into symbols. Every voice carries everything that compression throws away — the warmth behind a smile, the hesitation before a hard truth, the room behind the speaker, the rhythm underneath the language. Speech is texture. Text is residue.
Our Latent Speech Model learns meaning in a continuous latent space — the shape of speech itself, not its transcript.
One foundation for any other downstream speech tasks like Text-to-Speech, Speech-To-Text, Speech Translation, Speech-to-Speech, etc. Each ability is a decoder off the same latent core.

We build models the way the brain seems to: a single foundation that learns the shape of speech in a latent space — and then specialist decoders that turn that foundation into specific abilities.

From our inhouse C++ based fastest orchestration to Flash-Attention 4 specific traning on GPUs with lower memory bandwidth and lesser transistors. Infrastructure engineering is at the heart of Vaani.

Different ways to use the power of Voice AI. From white-glove enterprise deployment to GUI to a single API key. As we own the stack, we control the costs and the performance.
Transformer backbone with our own EDL and DAIL training innovations, trained on 4.3 lakh hours of native Indic and code-mix audio.
Native pronunciation of Indian names, numbers, and entities. Available via API at ₹2.5 per 1,000 characters.
Our Forward Deployed Engineers study, design, integrate, and deploy production voice agents for your highest-value workflows, without additional involvement from your side. Vaani has the highest Pilot to production ratio in the industry.
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Design, configure, and deploy voice agents through a no-code studio. Visual graph builder, prompt management, call review, evals — a five-minute path from sign-up to a live agent on your number.
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Full programmatic access to the Vaani stack: agents, voices, conversational graphs, evals, call data. ₹5 per minute, all-in. The same stack our FDE team builds on.
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Vaani's text-to-speech as a standalone API. Indic voices, code-mix, studio-grade fidelity. The first decoder off our LSM, available to call directly.
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Collections, lead qualification, KYC, customer service. 14+ deployments across banks, NBFCs, lenders, and insurers.
Appointment scheduling, diagnostics report follow-ups, and patient outreach — with the empathy and language range clinical conversations demand.
Every portal lead called in seconds, qualified in the buyer's language, and booked for a site visit — before it goes cold.
Premium reminders, renewals, and claim status conversations that hold empathy through difficult moments.
White-label the stack, protect the margin. Voice AI as a capacity layer for the businesses that run India's phone lines.
White-label the stack, protect the margin. Voice AI as a capacity layer for the businesses that run India's phone lines.




Vaani also offers air-gapped deployments in most global location with multi-tenant Support and geographic flexibility.
Run on your infrastructure, behind your firewall; with Vaani's VPC or Bare Metal isolated and scalable deployments.
Modular microservices design for additional customization and finetuning - allowing better control over the performance.
Integrates with all you workflows, CRM systems, CCaaS, telephony, Communication channels and scales on demand.
ElevenLabs and Cartesia trained on English first and fine-tuned the rest. Sarvam built Indic-only. We built a foundation that's natively multilingual — code-mix included — from day one.
148,000 lines of C++ orchestration, written before the tooling existed. No vendor seams, no stitched latency. When something needs to be faster, we change the engine — not a ticket queue.
Our EDL + DAIL training approach learns the structure of speech, not just its statistics. That efficiency is what makes low-resource languages viable — and what makes the next ten languages cheap.
The same latent foundation we publish benchmarks on runs live collections calls for banks. The research isn't a lab exercise — production is the proof it works.

❝ We work with women in tier-2 and tier-3 towns, and language & dialects were always the barrier. With Vaani we can actually speak to their needs, at the scale we need — that alone has changed how many women we can empower. ❞

❝ We looked at a few voice platforms before this. Vaani's just the most complete one we've used — our customers convert faster with it, and that shows up directly in our numbers, both top and bottom line. ❞

❝ We looked at a few voice platforms before this. Vaani's just the most complete one we've used — our customers convert faster with it, and that shows up directly in our numbers, both top and bottom line. ❞

We pre-training a speech model with number of evidences as the core idea. In every language corpus of the world - the dearth of good speech data and its mapping is a major bottleneck to train the models matching or surpassing the quality standards set by ElevenLabs. Vaani's model architecture holds the break-through. Read the study →
Why we started at the model layer and what does it even mean by building the infrastructure for speech systems.























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