Calls are still how most Indian customers prefer to get help, and a voice agent that understands Hindi, Hinglish and regional languages can answer a large share of them. The market has two kinds of vendor: platforms that run the whole call, and voice building blocks.

Who does what

  • [Sarvam AI](/technologies/sarvam-ai): an Indian company building models and voice tools for Indian languages, including speech to text, text to speech and translation.
  • [Gnani.ai](/technologies/gnani-ai): a Bengaluru company focused on speech recognition and voice agents for contact centres.
  • [ElevenLabs](/technologies/elevenlabs): known for natural-sounding voices, plus speech to text and a platform to build conversational voice agents.
  • [Yellow.ai](/technologies/yellow-ai): runs agents across chat, voice and WhatsApp from one platform.
  • [Uniphore](/technologies/uniphore): contact-centre automation and conversation intelligence for larger enterprises.

How to test fairly

  1. Use real recordings. Test with your own calls, with background noise, accents and mixed Hindi-English speech.
  2. Measure the right things. Check how often it understands the request, how long it takes to reply and how it behaves when it does not know.
  3. Listen to the voice. Have your customers, not only your team, judge whether it sounds natural.
  4. Check the hand-off. A smooth transfer to a human matters more than a perfect voice.
  5. Ask about consent and recording. Calls involve personal data, so ask how recording, storage and DPDP duties are handled.

Build or buy?

If you only need a voice or a transcript inside your own product, building blocks such as speech to text and text to speech may be enough. If you need a complete calling agent with telephony, CRM updates and reports, choose a platform and a partner who has done it before.

Compare options on the AI tools page or ask SARVO for partners who deploy voice agents.