Vani OS turns the inquiries your university or short-course programs are already generating into enrolled students and filled batches — and it only gets paid when that actually happens. This brief is the investment case: the pain by segment, what your stakeholders make, how it works, and exactly what you're being asked to approve.
A university applicant and a short-course sign-up don't fail for the same reason. Treat them the same and you fix neither.
Same 12,000-lead cycle. Same team, sized down. Three people in the room, three different numbers that matter to them.
Incremental revenue — 1,000 more enrolled students than your baseline, from the exact same inquiry pool you already have. Nothing new to spend on lead generation.
A 20–25 seat calling floor becomes 10–12 elite closers hitting the same or a higher target — AI handles triage and follow-up, your people close.
Return on every rupee spent — setup, platform, and every outcome fee included. ₹15.79 Cr net benefit after all of it is paid.
Not a chatbot with a script. A counsellor constrained by rules that don't bend, watched by people who can step in.
Every call moves through a fixed sequence — it cannot skip from "what's the fee" straight to "you're in." Whatever the AI says next is shaped by which stage the conversation is in, not by what would sound persuasive in the moment.
Admission decisions, fees, visa/legal, minors, binding commitments — matched deterministically. The same rule fires identically on every call, every time, regardless of how the model is otherwise behaving that day.
A supervisor watching the console can listen in silently, barge in on a live call, or take it over entirely — the transcript and event log stay continuous. Escalation doesn't mean the call goes dark.
Operations asks "is the AI actually working, call by call." Finance asks "are we getting outcomes for what we're paying." Neither dashboard substitutes for the other — both recompute the moment a real event lands.
This is the condensed version. Watch it happen to one real lead, end to end →
One number is a fixed commitment. Everything past it is paid out of money the system already made — never before.
This is a data-residency and infrastructure decision, not a different price for the same outcome fee.
₹1/min is real for raw telephony minutes alone — the SIM-card cost of dialing, nothing more. A full AI counsellor is a different product entirely.
| What's being priced | Real rate |
|---|---|
| Raw telephony only — carrier minutes, no AI (Exotel/Plivo, India outbound) | ₹0.60 – 1.80/min |
| Vani OS's real cost — self-hosted STT/LLM/TTS, telephony + amortized compute only | ~₹0.60 – 1.20/min |
| Published enterprise AI-agent platforms — bundled STT + LLM + TTS + hosting | ₹3.50 – 5.50/min |
| Premium enterprise AI-agent platforms, same bundle | ₹13 – 32/min |
A full AI counsellor — the one that scores leads, enforces guardrails, hands off compliance-sensitive questions, and reconciles every fee to a ledger your finance team can open directly — runs ₹3.50 to over ₹30 a minute across the platforms we checked, real published and quoted pricing, not estimates. Ours doesn't, because we don't buy that layer from anyone — we built and self-host it. That's what the platform fee actually funds: the infrastructure and engineering that keep our per-call economics below every third-party alternative — not a telephony reseller markup.