Built for the accents, code-switching and line noise that break generic engines.
Platform · AI agents
Agents that hold a real conversation.
A flow chart cannot handle a customer who interrupts, switches language mid-sentence, or asks the one question you did not script. Our agents can. A speech pipeline tuned for real Indian conversation, grounded on your live data so it never invents a figure, acting inside the call across voice and chat.
Live conversation · renewalSimulation
languages10+
responsesub-second
every figuregrounded
"A generic model with a phone number invents an answer when it does not know one. On a call that ends in a payment, an invented number is a liability, not a feature."The agent doctrine · grounded, or it does not speak
Conversation, not a call tree
The demo always sounds great. The book breaks a scripted bot by lunchtime.
Real calls are full of interruption, ambiguity, emotion and code-switching between Hindi, English and a regional language in one breath. A rigid flow chart cannot recover from any of it, which is why so many pilots stall.
Our agents are built for that variability. They handle the interruption, hold the thread, quote your real data rather than a guess, and act inside the call, book, update, take a payment, so the conversation reaches an outcome instead of a dead end.
Inside a conversation
Listen, reason, speak, and act.
The loop that runs on every turn, in real time, engineered so it feels like a person and not a menu.
Listen
Speech, understood
Speech recognition tuned for Indian accents and line noise, with turn detection deciding when the customer has finished, and barge-in so they can cut in.
Reason
Grounded, not guessed
The model reasons over your knowledge base and live CRM data, so it quotes the customer's actual policy, balance or order, never an invented figure.
Speak
Natural, low-latency voice
The reply comes back in sub-second time, in the customer's language, switching mid-call if they do, so it sounds like a conversation.
Act
Does the thing, in-call
Sends a payment link, books the appointment, updates the record, triggers the follow-up, then writes the outcome back to your systems.
The stack under the voice
Why it works where generic engines break.
India is the hardest voice market in the world: many languages, heavy code-switching, adversarial callers, patchy lines. A speech pipeline tuned for exactly this is how the agents stay accurate here, which makes everywhere else easier.
SpeechTuned for Indian audio
Languages10+ Indian
Hindi, English and regional languages, with mid-call switching and Hinglish handled natively.
Accuracy<1% hallucination
Grounded on your source data, so invented figures are engineered out, not hoped away.
FeelBarge-in + turn-taking
Sub-second latency, interruption handling and natural turn-taking, so callers do not fight a menu.
From sound to a grounded answer
It hears the words. It answers from your data.
The difference between a demo and a deployment is what happens between hearing the question and giving the answer. Ours does not guess; it looks the answer up.
heard→grounded
the answer, from your CRM
"Your car policy ending 4471 renews on the 12th, and the premium is the same as last year."
source: policy record · not invented
What the agents run
One brain, every revenue conversation.
The same agents run across voice and chat, and because it is one brain, what they learn on one motion sharpens the next.
voice + chatLead qualification
Sort intent in the minute it forms
Qualify on consistent criteria, score, and hot-transfer the ready ones to a rep. See lead qualification →
voice + chatCollections
Timed, in-language recovery
Hear hardship, offer a plan, take the payment, escalate the judgement calls. See collections →
voice + chatRenewals
Close on the call
Recite the real policy, handle the objection, take payment in-conversation. See renewals →
voice + chatRetention
Catch the leaving moment
Reach the at-risk customer, hear the reason, make the right save. See retention →
voice + chatSupport
Resolve, do not deflect
Answer at once, resolve the routine end to end, hand the hard ones over. See support →
in-callUpsell
The right offer, at peak trust
A relevant offer surfaced in the flow of a service or renewal call, only when it fits.
Honest about what is live
The agents are live. The copilot that shares their brain is landing next.
The voice and chat agents, the speech pipeline and grounding all run in production today, at scale, across BFSI, telecom and consumer brands.
The real-time agent copilot, which puts the same intelligence beside a human agent, and the continuous self-learning loop, are in build, Aug 2026. One training input will then power both the bot and the copilot.
Safe conversations by construction
Grounded, consented, and on the record.
Controls under review; the guardrails live in the platform, not the prompt.
GroundingSource-of-truth answers
Every figure fetched from your CRM and knowledge base, so the agent quotes real data and refuses to invent.
Consent & residencyDPDP-aligned
Consent honoured per call, data resident in India, recordings encrypted and access-controlled.
Audit100% scored
Every conversation recorded, transcribed and scored, so quality is the whole book, not a sample.
What technical buyers ask about the agents
How do you stop it from making things up?
By grounding it and refusing to guess. The agent answers from your knowledge base and live CRM data, so it quotes the customer's real policy, balance or order. Where it does not have a grounded answer, it hands over rather than inventing one. That is why the hallucination rate stays under one percent.
Do you really handle Indian languages, or just Hindi?
10+ Indian languages, with mid-call switching. The speech pipeline is tuned on real contact-centre audio, so it handles regional languages, Hinglish and code-switching that generic engines stumble on.
Can the agent actually do things, or only talk?
It acts. It sends payment links, books appointments, updates records and triggers follow-ups inside the call, then writes the outcome back to your systems. A conversation that cannot act is just a nicer IVR.
Voice and chat, or voice only?
Both, from one brain. The same agents run across voice and chat, so a customer gets consistent answers on either channel and the intelligence compounds across them.
How is latency low enough to feel natural?
The speech pipeline is engineered for it. Fast speech recognition, low-latency voice, turn detection and barge-in handling keep replies sub-second, so the caller is not left waiting or talking over the agent.
What is live versus on the roadmap?
Agents, the speech pipeline and grounding are live. The real-time human copilot and continuous self-learning loop are in build, Aug 2026. Everything on this page marked live is in production today.