Switch from Vapi to RavanAI Enterprises.
Same assistant config shape, same webhooks, same handlers. One provider in the call path instead of four. A third of the bill, and it speaks your customers' languages properly.
On an orchestrated stack you are paying a platform fee plus the ASR bill plus the model bill plus telephony. We publish one rate for the whole call.
*Indicative, pending final confirmation, not a quote. Vendor count describes a typical orchestrated pipeline of platform, ASR, model, and telephony, and your own configuration may differ.
Vapi is a good orchestrator. You are still assembling the call.
We like the developer experience. It is genuinely the fastest way to wire an assistant together from parts, and if you have shipped on it you already know that. The problem is not the platform, it is the shape: an orchestrator sits above providers it does not own, so the bill, the latency budget, and the incident channel all fan out to people who have never heard of you.
One published rate for the whole call at $0.09 per minute.* Not a per-minute platform fee stacked on top of a transcriber bill, a model bill, and a telephony bill that all move independently at month end.
You get a named engineer, not a feature request. If you need a webhook payload reshaped, a tool call the platform does not expose, or a field your compliance team wants written on every turn, it goes in the sprint rather than the backlog.
ASR, LLM, TTS, and telephony are ours. When a call degrades you open one ticket instead of correlating four status pages and waiting to find out whose region is having a morning.
Mumbai Hindi is not Delhi Hindi. Emirati Arabic is not Egyptian Arabic. We build at city level, 50+ languages and 200+ dialects,* because an orchestrator can only ever pass through what its provider gives it.
A caller starts in Hindi, hits a word they only know in English, and finishes the sentence there. Agni switches inside the turn. In an orchestrated pipeline the transcriber locale is set at call start, so the turn is lost and your assistant asks them to repeat. That is not a prompt problem, it is an architecture problem.
Hear the switch moment →In clean English, hold us to parity and no higher. What we will put in writing is emotion that survives a two minute collections call, city-level registers, mid-call switching, one vendor in the path, and a rate that is not close. If English-only is your whole book, be sceptical of this page.
Read the head-to-head →*$0.09 per minute, 50+ languages, and 200+ dialects are pending final confirmation and are indicative only. Statements about Vapi describe publicly available information at time of writing, are not warranted here, and should be verified with the vendor directly. Vapi is a trademark of its owner and is used here for identification and comparison only.
Same script. Both stacks. No commentary from us.
One script, read twice, same scenario, same recording conditions. We are not going to tell you which one to prefer, because you can hear it faster than we can argue it. In the workshop we play these unlabelled and let your engineer call it.
Platform layer on top, a separate transcriber, a separate model, a separate voice provider, telephony underneath. Four moving parts, four latency budgets, one script.
ASR, LLM, TTS, and telephony on one path, one vendor, one latency budget. Identical script, identical scenario, identical recording conditions.
In clean English, expect parity. If a vendor's English sample sounds decisively better than everyone else's, the sample is doing the work, not the model. The gap opens somewhere harder: Marathi, Emirati Arabic, Bahasa with a Jakarta register, and the moment a caller changes language halfway through a sentence. Ask for those. Ask us for them too, on your own script, with your own edge cases in it.
Recordings are pending the demo audio clearance gate and are not yet published. Stack A is a representative orchestrated pipeline built by us for comparison, not a sample published by any vendor, and the exact components will be listed with the file when it ships. Neither clip is a warranty of performance on your traffic.
The comparison, with our hedges left in.
Every competitor cell below is drawn from public pages, not from a benchmark we ran. We have left the hedges in because you are going to check anyway, and a page that reads as too confident about someone else's product is a page you should not trust about its own.
*Competitor figures and capabilities are drawn from public pricing pages and public documentation at time of writing. They are not warranted by us, they change without notice, and you should verify them with the vendor directly before making a decision. Our own figures are pending final confirmation and are indicative only. Latency is stated as a target class, not a guarantee, and depends on network path, region, concurrency, and in an orchestrated stack on the providers you selected. Note row nine: provider swapping is a genuine advantage of an orchestration platform and we have scored it against ourselves.
Fourteen days, and we write the adapter.
Nothing gets ripped out on day one. Your assistants keep serving traffic the whole time while we run in shadow beside them, and the cutover is a config change with a documented rollback. If your own numbers never say switch, you have lost two weeks of our time and none of yours.
Your assistant definitions, your tool calls, your webhook contracts, and all four bills. We map every field to its Agni equivalent and hand you the gaps in writing, including the ones we cannot close. You keep the document either way.
Agni takes a mirrored slice of real calls while your current assistants keep answering every one of them. You compare transcripts, containment, tool-call success, and cost per contact on identical traffic. Nothing customer-facing changes.
We move a single assistant on a single route, watch a full business cycle, then move the rest. Rollback is a config change, not a project, and your existing provider keys stay valid until you choose to revoke them.
*The 14 day path is a target and is pending final confirmation. It assumes one language pair at cutover, an existing telephony route, webhook handlers we can map directly, and named engineers available on your side. Custom tool calls, regulated approvals, or multi-region residency requirements extend it, and we will tell you that in the audit rather than after you sign.
The config keeps its shape. The path collapses.
Both snippets are illustrative and generic. They show the shape of the change, they do not reproduce any vendor's code sample, and neither will run as written. The point is how little of your own code moves.
// Illustrative only. Generic config, not a vendor code sample. const assistant = { transcriber: { provider: "asr-vendor", language: "hi" }, model: { provider: "llm-vendor", model: "chat-large" }, voice: { provider: "tts-vendor", voiceId: "generic-1" }, transport: { provider: "sip-vendor" }, serverUrl: "https://your.app/webhooks/voice", }; // Four providers. Four invoices. Four status pages. // `language` is pinned at call setup, so when the caller // finishes a Hindi sentence in English the turn is lost // and the assistant asks them to repeat.
// Illustrative only. Shape of the integration, not a running sample. import { Call } from "@ravanai/agni"; const assistant = { provider: "agni", // ASR, LLM, TTS, telephony voice: "hi-IN/mumbai", // city register, not one per language fallback: "en-IN", switch: "auto", // language change inside a turn serverUrl: "https://your.app/webhooks/voice", }; const call = await Call.create(assistant); // Same serverUrl. Same event names. Same tool-call contract. // One invoice. One status page. One team to call at 3am.
*Snippets are illustrative pseudocode written by us for this page. They are deliberately generic, do not reproduce any third party sample, and are not a specification of the Agni SDK. The drop-in claim is scoped to what we verify against your actual configuration during the audit, not a universal guarantee, and any field we cannot map is listed in writing before you commit.
When you should not switch.
Six situations where the honest answer is stay. We would rather lose this on the page than in month four of a deployment that never made sense for you.
This is the real trade and it is worth saying first. An orchestrator lets you change the model behind an assistant next quarter because it does not own any of them. We own the whole path, which is why the bill and the latency are what they are, and it is also why you cannot do that here. If that flexibility is load bearing for you, stay.
If you are still finding product-market fit on a self-serve card, our enterprise motion is heavier than you need and slower than you want. Ship on what you have. Come back when the call volume is a line in someone's budget.
An ecosystem of pre-built provider integrations is a genuine advantage and we are smaller. If one of them is load bearing, we will tell you in the audit whether we can rebuild it, roughly what it costs, and when. If the answer is no, it is no.
The percentage saving is real. The absolute saving is not worth two weeks of your engineers' attention. Start with one assistant on one route and leave the rest alone, or wait until volume makes it obvious.
Then our dialect depth, which is most of what we are, buys you nothing. You would be buying on cost and on having one vendor to shout at. Both are legitimate, both are thinner, and you should hold us to a much harder price for them.
If the stack works, the invoice is not a board conversation, and no market is being underserved by the accent, there is no reason for this page to change your mind. Bookmark it for the next budget cycle.
Add up all four invoices first.
The calculator opens pre-filled for an orchestrated Vapi-based stack, with slots for the platform fee, the transcriber, the model, and telephony. Put in your real minutes and your real rates. It gives you a year one figure you can take to finance without us in the room.
Calculator output is an estimate built from the inputs you provide and from indicative rates that are pending final confirmation. It is not a quote and not a forecast of your result.
Talk to the migration team.
Ninety minutes with the engineers who would write the adapter, not a sales engineer reading a deck. Bring your assistant config and your worst-performing language. We will tell you on that call whether this is worth doing.
One real call. The caller flips language mid-sentence and Agni does not miss a beat. A pinned transcriber locale physically cannot do this.
Watch the demo →Opens configured for an orchestrated Vapi-based stack, with a slot for each of your four bills. About 90 seconds.
Run the calculator →Bring the assistant config. We map every field to its Agni equivalent and hand back the gaps in writing, including the ones we cannot close.
Book the audit →