The single most common question we get from Indian recruiters: “will it work for candidates who are more comfortable in Hindi or Telugu?” It is the right question — most global voice-AI stacks are trained on American English and fall apart on Indian languages, accents, and mid-sentence language switching.
Why Indian languages break generic voice AI
- Code-mixing: real speech is “mera notice period 30 days hai” — Hindi and English in one sentence.
- Accent coverage: a Coimbatore accent and a Kanpur accent need training data most US models never saw.
- Phone audio: 8kHz telephone audio is far harder than podcast-quality audio benchmarks.
The fix is an India-first speech stack
Veytrix uses Sarvam AI for speech recognition — a model built specifically for Indian languages and telephone audio — combined with Gemini for reasoning and Cartesia for natural voices. The agent can greet in English, hear the candidate answer in Hindi, and continue in Hindi without missing the notice-period number buried in the sentence.
What changes for your hiring funnel
Teams that screen only in English silently filter for English confidence, not job skill — a real problem for field, retail, support and blue-collar roles. Multilingual screening widens the top of the funnel and produces fairer shortlists: the AI rates what the candidate said, not how polished their English was.
Three checks before you buy any multilingual voice agent
- Have it call you and answer in mixed Hindi-English. Read the transcript — did it capture the numbers correctly?
- Check the voice: does the reply sound natural in the target language, or like an English voice reading Hindi?
- Confirm pricing is the same across languages (on Veytrix it is — same ₹4–5/min).
Run that test in ten minutes: create a workspace, set the agent’s language, and test-call your own phone. Or start from the home page — the demo agent will call you right now.