A voice agent that speaks Hinglish.

Why Hindi voice AI is hard

Most speech and voice models are trained mostly on clean English audio. Indian customer calls are different in four ways:

Code-mixing

Customers switch between Hindi and English mid-sentence — "payment ho gaya hai, but app mein update nahi hua". The agent has to understand the whole sentence and reply in the same register, not force the customer into one language.

Numbers, dates and money

"Saade chaar hazaar", "₹4,850", "athaarah tareekh" and "18th" are the same facts said differently. Getting an EMI amount or a due date wrong on a collections call is not a small error, so every figure is read from your system and spoken the way your best agents say it.

Telephony audio

Narrow-band phone lines, background noise and people talking over the agent. We fine-tune on your own recordings — redacted, consented and approved — so the model learns the audio it will actually hear.

Accent and tone

A voice that sounds fine reading news can sound wrong asking for a payment. Pace, politeness and tone are tuned per use case and per bucket: helpful before the due date, firm and courteous after a bounce.

How FormantAI handles it

• Your calls, your model. Model Studio fine-tunes speech and reasoning on your recordings. Your recordings train your model and no one else's.
• Best engine per language. The runtime is provider-agnostic — Sarvam, Deepgram, Cartesia, ElevenLabs, Azure and others — chosen per language and latency, then tuned on your audio.
• Every turn checked. Amounts and dates come from your systems; compliance lines are spoken verbatim and never learned.
• Better every week. Graded calls feed a weekly learning cycle, so pronunciation and phrasing improve after go-live.