Record
Thirty minutes of clean studio audio in the voice you want, read from our script in Hindi, English (US) and Hinglish. We help with the script and the session.
आधे घंटे की recording, बस.
One stream, server-side: the first audio frame leaves the server 27 ms after the text arrives, and a minute of speech is made in eight seconds. Independent end-to-end measurements of rented voices land between 190 and 420 ms.
A rented voice is rented compute plus a vendor margin plus a dollar rate: ₹2 or more a minute. Ours is 10 paise per 1,000 characters today, about a minute of speech, then 5 paise in six months and under a paisa in about a year, because the model is ours and it runs on ordinary servers.
Trained on how India talks: code-switching mid-sentence, numbers read the Indian way, lakh and crore, EMI and KYC spelled out. Tamil, Telugu, Marathi, Bengali and Kannada are in training now.
No queue and no scarce hardware: one four-core server makes 18 seconds of speech every second, and a server adds capacity in minutes, in our Indian region or your data centre. The guard rails live inside the model: it speaks exactly the text it is given, reads names and amounts right, and stops cleanly at the end of the sentence.
Record your brand voice, an agent, an anchor, a founder, and we return a model trained on it: your timbre, your pronunciations, your pace. Same price, same speed, yours to run wherever you like.
Five convictions
Natural, expressive Hindi, English (US) and Hinglish, streamed from a plain API. Names, numbers and rupee amounts read the way a person reads them. Our own model on our own engine, so it is fast on a live call and cheap enough to put behind every message you send.
Everything below was measured on 17 October 2026 on one small server in Mumbai, engine-side, before the network. The rented-voice figures are independent end-to-end leaderboard medians from the same month. We publish the method with the numbers.
How: one synthesis stream on one small Mumbai server, our engine, 24 kHz output, eight Hinglish sentences, medians. First audio is the time from text in to the first 80 ms frame out. Real-time factor is wall time divided by audio produced. Four streams on the same four-core server, one process sharing one copy of the model: 51 ms first audio, each stream at 0.22 of real time, 18 seconds of speech made every second, no gaps.
Our stock voices are good. Yours is better for your brand: the agent your customers already know, the anchor from your ads, the founder. Record it once; we train a model on it and hand it back at the same price and the same speed, to run in our region or on your own servers.
Thirty minutes of clean studio audio in the voice you want, read from our script in Hindi, English (US) and Hinglish. We help with the script and the session.
आधे घंटे की recording, बस.
The model learns the timbre, the pace and the pronunciations of that voice while keeping everything it already knows about Indian names, numbers and code-switching.
Two to three weeks, end to end.
Your voice behind the same API at the same 10 paise per 1,000 characters, in our Indian region or inside your data centre. The model is yours.
Same price. Same speed. Your voice.
We own the model and it runs on ordinary servers, so the price is arithmetic and not a negotiation. Per 1,000 characters of text you send, which is about a minute of speech, billed in rupees with a GST invoice. No per-seat licence, no setup fee, no card needed to start.
Bring the sentences your product needs to say and the volume you need to say them at. Thirty minutes is enough to hear them in our voices, talk about yours, and walk through the paise on your numbers.
With Puru Chaudhary, founder & CTO. Pick a slot that suits you and the invite lands in your calendar with a video link.
One of us runs the company, the customers and the pilots. The other trains the speech recognition, the language model and the voices, and builds the platform they run on. Both have been here since the first call, and both have their own money in it.
Runs Vartalaap: the company, the customers, the pilots and the money. Co-founder of QuickDial AI, Vartalaap's sibling in the United States, whose voice stack he helped take from a hotel demo to a quarter of a cent a minute. An alumnus of the Indian Institute of Technology, Kanpur.
Trained the voices and the speech recognition, wrote the engine that runs them on ordinary servers, and built the platform above it. Fifteen years of software for GE HealthCare, S&P Global, Bristol Myers Squibb and State Street; three years training models; three companies founded. Author of The Inference Mechanic.
Intelligence is the new electricity, and today a handful of companies own the power plant: the compute, the models and the know-how. Every minute of voice sold in India today carries rented compute, a foreign margin and a dollar exchange rate. There is no democracy without democratised intelligence.
So we build the whole stack here: small models on commodity hardware, trained on how India actually talks, cheap enough that a regional bank, a microfinance branch or a family business can give its customers a voice it owns outright, in their own language, for a few paise per 1,000 characters.
We start with the minute. We end with the infrastructure. वार्तालाप is just the first word.