A voice agent that answers the line — in the language the caller speaks.
Natural-language voice agents over your phone lines and WhatsApp, in Hindi, Gujarati and English — built for real latency and a clean hand-off, not a stage demo.
A demo sounds great in a quiet room. A phone line is not a quiet room.
The hard part of voice is never the first sentence — it is the pause before the reply, the caller who talks over the agent, the accent the model has not heard, and the moment it should have handed off but did not. A polished lab demo tells you almost nothing about how a line behaves at 6pm on a bad connection.
So we engineer for the parts that actually decide whether people hang up: low latency, robust turn-taking, staying on-script, and handing off to a human at the right moment with the call's context intact — in Hindi, Gujarati and English, over the phone or on WhatsApp voice.
- Low latency, so the reply comes back at the speed of a conversation
- Hindi, Gujarati and English, including the code-mixed way people speak
- On-script by design — it follows your flow instead of improvising
- Clean hand-off to a human with the call context attached
The engineering, not the demo.
Anyone can make a voice agent say hello. Making it usable on a real line is latency, turn-taking and hand-off.
Phone-line voice agents
We put a natural-language agent on your actual phone numbers — inbound or outbound — so callers speak normally and get answers or actions without a menu tree. The engineering underneath is telephony, not a web widget, and we build it as such.
WhatsApp voice & chat
For much of India and the UAE, WhatsApp is the channel. We build agents that handle WhatsApp voice notes and chat in the same brief and voice as the phone line, so a customer can start on one and continue on the other.
Latency engineering
Everything is tuned for the gap between the caller finishing and the agent replying. We keep that pause short enough to feel like a conversation, because a laggy voice agent reads as broken no matter how good its answers are.
On-script flows & guardrails
The agent follows the flow you approve — the questions it must ask, the things it must never say, the order it does them in. It stays on-script instead of freelancing, which is what keeps it usable for bookings, verification and support.
Human hand-off & fallback
When the agent is unsure, or the caller asks, it transfers to a person — warm, with the context of the call so far — rather than dead-ending. Failing to a human cleanly is the difference between a helpful line and an infuriating one.
Grounded & role-aware answers
Where it answers questions, the agent is grounded in your real data and aware of who is calling, so an order status or an account detail is correct and only shared with the right person. Voice does not mean loose.
The engineering is in the pause, the hand-off and the accent.
Low latency, on-script, and a clean route to a human — in three languages.
A line that is always picked up.
Callers get a natural conversation instead of a menu — and a person the moment it actually matters.
Script it, then harden it.
We map the calls and the never-say lines first, then spend the effort on latency and hand-off.
The flow
Map the calls it will take, the questions it must ask, and the lines it must never cross.
Language & tone
Choose the voices and set up Hindi, Gujarati and English, including code-mixed speech.
Phone & WhatsApp
Connect the telephony and WhatsApp channels, and ground the agent in the data it answers from.
Latency & turns
Drive down response lag and harden turn-taking against interruptions and noisy lines.
Test & deploy
Prove the human hand-off on real calls, then ship with monitoring on latency and drop-offs.
One brief, many channels.
The voice agent shares its grounding and guardrails with the chatbot and retrieval we build alongside it.
Things you might be wondering.
Why not just use an off-the-shelf voice demo?
Which languages and channels does it handle?
What stops it going off-script or making promises?
When does a human take over?
A phone line nobody has time to answer?
Tell us the calls you get. We will build a voice agent that handles them — and hands the hard ones to you.