model · Sarvam AI
Voice AI Agents with Sarvam AI
Voice AI Agents built on Sarvam AI, chosen where it genuinely fits, and swapped where it does not.
- Category
- model
- Vendor
- Sarvam AI
- Alternatives we also use
- 8
Why Sarvam AI for this
Orqent Labs builds voice agents that transfer cleanly, the human picks up already knowing who is calling and what has been tried.
Sarvam AI is strongest at Indian language coverage and speech quality that general models do not match. For voice ai agents that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: narrower scope than a general frontier model. We pair it rather than replace with it. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.
Six weeks to something running in production, not six quarters to a strategy document.
The honest assessment
- What it is
- Indian-language models and speech stack, built for Indian accents and code-mixed speech.
- Strongest at
- Indian language coverage and speech quality that general models do not match
- Trade-off
- narrower scope than a general frontier model. We pair it rather than replace with it
- Category
- model
We are not a reseller for Sarvam AI and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Telephony integration with your existing numbers
- Indian-language speech recognition and synthesis
- Sub-second turn latency with barge-in support
- Live transfer to a human with context
- Call recording, transcription and QA scoring
- Compliance with calling and consent regulations
Questions
Which Indian languages are supported?
Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati and Punjabi among others, including code-mixed English. We test on recordings of your real callers, not studio audio.
How fast does it respond?
We target sub-second turn latency end to end, with barge-in so callers can interrupt naturally. Anything slower and callers assume the call has dropped.
Can it transfer to a human?
Yes, warm transfer with the transcript and caller context handed over, so the agent does not ask the customer to repeat themselves.
Alternatives for voice ai agents
Same capability, different stack. Each page states its own trade-off.
What else we build on Sarvam AI
Building with Sarvam AI?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878