AI calling agents built for Indian businesses.
Building phone automation for India is a different problem from building it for the US. The languages are different, the calls are cheaper, the regulation is stricter, and callers switch between English and their own language mid-sentence. Veytrix AI is built for that reality — rupee per-minute pricing, Indian-language voices, and TRAI-aware calling controls.
Why Indian deployments are different
Four things a platform designed for a single-language, dollar-priced market gets wrong here.
The call is not in one language
A candidate in Hyderabad may answer in Telugu, switch to English for their job title, and return to Telugu. A recogniser tuned only for English transcribes that as noise. Handling Hindi, Telugu, Tamil, Kannada, Malayalam, Bengali, Marathi and Gujarati — and the code-mixing between them and English — is a baseline requirement here, not a premium feature.
Unit economics are tighter
Per-call budgets in India are a fraction of Western ones, so a platform priced in dollars per minute rarely survives contact with an Indian volume plan. Rupee pricing matters, and so does knowing what is bundled: on Veytrix the per-minute rate already includes telephony, transcription, the language model and the voice. See the full pricing breakdown.
Regulation is real
Indian telemarketing is governed by TRAI regulations, including DND registries and restrictions on unsolicited commercial communication. Consent, calling windows and record-keeping are your obligations as the caller. Practically, that means: call people who asked to be called, respect quiet hours, keep a record of what was said, and stop when someone asks you to. Our acceptable use terms spell out what is not permitted on the platform.
Network conditions vary
Calls drop, audio degrades, and people answer from moving vehicles and noisy streets. An agent that only works on a clean line is not usable at scale. Turn detection has to tolerate a pause on a bad line without cutting the person off mid-sentence.
What Indian teams use it for
The repetitive, high-volume calls where the same questions go out to thousands of people.
Conversational volume
- High-volume recruitment — campus and bulk hiring where thousands of applicants need a first-round screen. See how screening works.
- Lead qualification — ed-tech, real estate, insurance and lending, where speed-to-call decides conversion. See how qualification works.
Routine outbound
- Collections and reminders — EMI due dates, renewals and appointments, run as cheap one-way announcement calls.
- Field and franchise check-ins — routine status calls to a distributed workforce, with structured answers back.
A realistic cost picture
What a call actually costs, and which lever moves the bill.
A three-minute screening conversation costs roughly ₹12–15 depending on your plan. A thirty-second payment reminder run as an announcement call costs well under a rupee. The practical implication is that conversation minutes are the budget you protect: put notifications on announcement calls, and spend the conversational rate only where you genuinely need the person's answers.
Getting started sensibly
Five steps, in order. Scaling the volume is the last one, not the first.
Pick one call
Pick one repetitive, high-volume call your team already makes.
Write it in plain language
Write the opening line and the questions in plain language — no scripting syntax.
Test on yourself first
Test-call yourself and a few colleagues before pointing it at real contacts.
Run a small batch
Run a small batch, read the transcripts, and fix the prompt where it went sideways.
Then scale
Only then scale the volume up.
To understand the complete call architecture, read how AI voice agents work. To connect calls, webhooks and outcomes to your own systems, use the VeytrixAI API.