AI Transformation · 03 of 04
Speech & Voice Understanding.
Every call becomes a record: transcript, summary, sentiment and next step. Hinglish and Tanglish included.
Sales and support teams talk all day and write almost none of it down. Our conversation platform turns each call into a transcript, a summary, a score against your rubric and a next step in a single pass. It runs on the phone system you already have, and the customer's details are redacted before a model ever reads them.
agent
sentiment
positive
next step
send revised quote · Thu
language
Hinglish
model
v3.2 · flag: none
live demo · synthetic data · runs in your browser · nothing is uploaded
what it buys you
What your team stops losing at hang-up.
Every call becomes a record
No more 'what did the customer say?'. The transcript, the summary and the agreed next step land in the CRM by the time the agent hangs up.
Coaching from real calls, not samples
Calls scored against your own rubric. The AI flags, a team lead decides. Nothing becomes a penalty automatically.
Code-switching handled
Hinglish, Tanglish, English with regional accents. The way your customers speak is the way we test.
how it works
Call in, record out.
What happens to a recording between the phone system and the CRM, and what never leaves.
what leaves your site
Recordings are redacted before analysis. Storage is encrypted, access is scoped per organisation, and every read is logged.
- 1
Your telephony stays
Connectors to the cloud telephony and CRMs Indian sales teams already use. Recordings flow in, and nothing gets replaced.
- 2
Redact, then analyse
Phone numbers, card numbers and personal details are masked before the recording reaches any model.
- 3
Engines run head-to-head
We benchmark several speech engines on your recordings and route to whichever wins for your language mix. We re-check as the engines change.
- 4
Every output stamped
Transcript, summary and score each carry the version of the model that produced them, so a disputed score can be traced instead of argued.
where it fits
The teams that talk for a living.
Inside sales
Next steps captured, follow-ups scheduled, pipeline notes written for the rep.
Collections
Promises to pay recorded with the date and the amount instead of a scribble.
Support quality
Every call scored instead of a 2% sample. Flags go to a lead.
Field service notes
A technician's voice note becomes a structured job report.
Appointment and care calls
Confirmations and instructions captured accurately, in the patient's language.
measured before trusted
Two hundred of your calls, scored by us and by your leads.
About two hundred of your real recordings, transcribed and scored, compared against how your leads score them today. You see the accuracy before anything is trusted.
~200 of your own recordings
Your agents, your customers, your language mix. Hinglish and Tanglish as they are spoken.
Against your team leads' scores
The same calls, scored by your leads and by the model. The agreement rate is the number you get.
Flags to a lead, never a penalty
A low score is a review flag for the team lead. Nothing about an agent changes automatically.
Every transcript stamped
Transcript, summary and score each carry the model version, so a disputed score can be traced.
what is real today
In paid pilots now.
Our conversation platform analyses real sales calls for pilot customers today. The case study is being written with them. These are the facts that already hold.
the client systems behind the AI chapter →- 1
Measured on ~200 real recordings
Every pilot opened with an accuracy gate on the customer's own calls, scored against how their team leads score them, before a single call was trusted.
- 2
Engines run head-to-head
Several speech engines benchmarked on the same recordings. The job routes to whichever wins for that language mix and is re-checked as engines change.
- 3
Redacted, stamped, reviewable
Personal details masked before analysis. Every transcript, summary and score carries its model version. AI findings ship as flags for a lead, never as penalties.
asked before signing
Bots, accuracy, privacy, telephony.
Including the one about voice bots, answered honestly.
different question? WhatsApp us →Not today. We analyse conversations between your people and your customers. Bots that speak for you are not something we offer until they meet the bar we would hold a human agent to. We will say so when that changes.
Good enough that pilots run on it, but the only number that matters is yours. We measure on about two hundred of your recordings first and show you the result.
Personal details are redacted before a model reads the recording. Storage is encrypted, access is scoped per organisation and logged. Your data is never used to train models for anyone else.
The common Indian cloud telephony providers and CRMs, yes, through connectors we maintain. If yours is unusual, the answer is a day of investigation away.
your move
Send us two hundred recordings. We'll show you the transcript quality on yours.
One message. An engineer replies within 24 hours with how we would approach it.
after you press send
within 24hAn engineer replies
Sasi, Bava or Bharath. No sales script.
day 1A 30-minute call
Your problem, mapped. No long presentations.
day 2–4A clickable mock-up
You react to screens instead of documents.
week 2+First version goes live
You see it working early. Then we grow it.
no retainers to start · no slideware · your first invoice comes with working software