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We make machines India can talk to.

We build the full voice stack — our own models, our own infrastructure, down to the phone call — so any business can hold a real conversation with any customer, in their language, at human speed.

A figure in a light suit walking past a blue doorway while loose sheets of paper drift through the air.

Why we’re doing this

India runs on conversations.

More than 1.3 billion people. One of the biggest markets on earth for conversation. Yet too little voice infrastructure is built around Indian languages, Indian prices and the way people here actually speak.

Here, people call to confirm an order, ask one more question, or hear that someone will take care of it. Reassurance is part of how business gets done. A conversation makes it personal.

That’s why we’re here. Building here. Hosting here. Running here. Voice Infra made in India, for the conversations India depends on.

The story

This is how we got here, in six beats.

  1. India is voice-first.

    The next billion users do not type — they talk. Business here closes on calls, not clicks.

  2. Conversations don’t scale.

    A human calling team is the most expensive, slowest-to-hire and hardest-to-train bottleneck in Indian business.

  3. Voice AI kept failing the trust bar.

    Slow, robotic, English-first, rented from abroad. People hang up on machines that do not listen.

  4. We run speech recognition and the model ourselves.

    Our own audio pipeline, our own speech recognition, and a language model on our own GPUs, in Indic languages. We judge it on real calls with real customers. 850 ms on average to first reply,² because the person on the phone should not wait for our architecture. Speed is respect.

  5. It works today.

    Businesses run calling campaigns from ₹5 a minute, ₹1.50 all-in at volume.¹ Developers use the same models through simple APIs. By September 2026 that was four to five thousand minutes a day, in production.

  6. Where it goes.

    Every business in India able to talk to every customer — and eventually, a billion voice-first people talking to every service, through us.

17 months, bootstrapped

We have been in market since June 2025, on our own money.

17 months

In market since June 2025, counted to November 2026. No outside money as of September 2026; every rupee earned went back into the stack.

₹8.25 → ₹1.50

The first invoice was ₹8.25 a minute. At volume, T1 is now ₹1.50 a minute all-in, ₹1 for the agent with our line and insights on top.¹ We own the stack that makes it possible.

8 languages

Hindi, Gujarati, Marathi, Bengali, Tamil, Telugu, Kannada and Malayalam are live on every call, in speech recognition and in the voice, and the Hinglish in between.

A note from the founder

We went after the cost by owning the stack.

I left my job in Silicon Valley to work on voice full time. For nine months we fought the same fight as everyone else — making agents as human and as accurate as we could. Then the market handed us a reality check: at ₹5 a minute, voice AI does not sell in India.

So we went after the cost. The only honest way was to own the stack: our own GPUs, our own models, our own inference engine, our own SIP lines. That is how we made voice AI affordable at volume.

What is behind this code is that stack, running live. Break it, push it, tell us what it gets wrong.

— Sneh Mehta, founder

  1. AI agents: T5 is ₹5 a minute, pay as you go, with our phone line and call insights included. At volume, T1 is ₹1 a minute on ₹1,00,000 a month, and ₹1.50 with our phone line (₹0.30) and call insights (₹0.20). Prices exclude GST.

  2. Average time from the caller finishing speaking to the first reply audio, measured on our own GPUs in India. Network distance to the caller is extra.

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