Switch from ElevenLabs to RavanAI Enterprises.
Everything ElevenLabs does. A third of the bill. And it speaks your customers' languages properly. Cost opens the door. The dialect is what keeps them.
We will not guess your invoice. Bring the real one, we will model against it line by line in the migration audit.
*Both figures are indicative, pending final confirmation, and not a quote. Your result depends on volume, concurrency, languages, and deployment scope agreed in the audit.
ElevenLabs is excellent. Your bill is not.
We are not going to tell you their voices are bad. They are not. If you are running English marketing audio, they are a strong product and we would say so to your face. The argument starts when a voice model becomes a phone system, in eleven markets, at scale, on a monthly invoice.
One published rate for the whole call at $0.09 per minute,* not a voice rate plus an LLM rate plus an ASR rate plus telephony. One line on one invoice, in one currency, with one team accountable for it.
A named engineer who will build the endpoint your CRM needs, the webhook your dialer expects, the field your compliance team wants logged. Platform vendors optimise for the median customer. We do not have a median customer.
ASR, LLM, TTS, and telephony are ours. The alternative is assembling ElevenLabs plus a separate LLM plus a separate ASR plus a carrier, which means three or four vendors, three or four latency budgets, and a finger-pointing exercise when a call drops.
Mumbai Hindi is not Delhi Hindi. Emirati Arabic is not Egyptian Arabic. We build at city level, 50+ languages and 200+ dialects,* because in our markets the register is what makes a caller relax.
A caller starts in Hindi, hits a word they only know in English, and finishes the sentence there. Agni switches inside the turn. It does not re-prompt, it does not hand off, it does not ask them to repeat. A pipeline that pins the locale at call setup physically cannot do this.
Hear the switch moment →In English, judge us at parity and no higher. We are not going to tell you we out-sing a company that built its name on English voice quality. What we will put in writing is emotion that holds through a two minute collections call, dialects they do not publish, mid-call switching, and a rate that is not close.
Read the head-to-head →*$0.09 per minute, 50+ languages, and 200+ dialects are pending final confirmation and are indicative only. Statements about ElevenLabs describe publicly available information at time of writing, are not warranted here, and should be verified with the vendor directly. ElevenLabs 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. We are not going to narrate which one you should prefer, because the whole point is that you decide before anyone quotes you a price. In the workshop we play these unlabelled and let your ops lead call it.
A best-in-class voice layer, a separate ASR, a separate LLM, and a carrier 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 you hear a clear winner in an English sample, be suspicious of the sample, not impressed by it. The gap opens somewhere else: in Marathi, in Emirati Arabic, in Bahasa with a Jakarta register, and at the moment a caller changes language halfway through a sentence. Play those. That is where the money is anyway, because those are the calls your current stack is quietly failing.
Recordings are pending the demo audio clearance gate and are not yet published. Stack A is a representative assembled 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 lab test we ran, and we have written it that way on purpose. If a row matters to your decision, check it with them before you check it with us.
*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, and concurrency. Nothing in this table is a benchmark result.
Fourteen days, and we do the work.
You do not rip anything out on day one. Your current stack stays live the entire time and we run in shadow beside it until your own numbers say switch. If they never say switch, you have lost two weeks of our time and none of yours.
Line by line: which vendor bills what, where the minutes actually go, which languages carry your volume, and which integrations are load bearing. You get the cost model back whether or not you go ahead with us.
Agni takes a mirrored slice of real traffic while your existing stack keeps serving every caller. Side-by-side transcripts, containment, handoff rate, and cost per contact on the same calls. Nothing customer-facing changes.
We move a single route first, watch it for a full business cycle, then move the rest. Rollback is a config change, not a project, and your old vendor 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, and named contacts available on your side. Complex integration work, regulated approvals, or multi-region residency requirements extend it, and we will say so in the audit rather than after you sign.
Four vendors in a call path, or one.
Both snippets below are illustrative and generic. They are written to show the shape of the change, not to reproduce any vendor's code sample, and neither will run as written.
# Illustrative only. Generic pipeline, not a vendor code sample. asr = SpeechToText(vendor="asr-vendor", key=ASR_KEY, locale="hi-IN") brain = ChatModel(vendor="llm-vendor", key=LLM_KEY) voice = TextToSpeech(vendor="tts-vendor", key=TTS_KEY, voice="generic-1") phone = Telephony(vendor="sip-vendor", key=SIP_KEY) text = asr.transcribe(stream) # vendor 1, own latency budget reply = brain.complete(text) # vendor 2, own latency budget audio = voice.speak(reply) # vendor 3, own latency budget phone.play(audio) # vendor 4, own SLA # The caller starts in Hindi and finishes the sentence in English. # The ASR locale was pinned at call setup, so the turn is lost and # the bot asks them to repeat. Four invoices. Four status pages.
# Illustrative only. Shape of the integration, not a running sample. from agni import Call call = Call( key=AGNI_KEY, voice="hi-IN/mumbai", # city register, not one per language fallback="en-IN", switch="auto", # language change inside a turn ) call.answer(stream) # ASR, LLM, TTS, telephony: one path # The caller starts in Hindi and finishes the sentence in English. # The same turn continues. No re-prompt, no handoff, no repeat. # 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 real integration guide is issued under NDA during the migration audit.
When you should not switch.
Five situations where the honest answer is stay where you are. We would rather lose the deal here than lose it in month four of a deployment that never made sense.
Audiobooks, dubbing, narration, character voice, English-language content production. That is what ElevenLabs was built for and it is not what we built. Stay. We would be a downgrade and we are not going to pretend otherwise.
If your customers already recognise one particular voice you created there, moving it is not a migration, it is a rebrand. We cannot reproduce someone else's clone and we would not attempt to.
The percentage saving is real. The absolute saving is not worth the two weeks of your engineering team's attention. Come back when the volume is there, or start with a single route and leave the rest alone.
Then our dialect depth, which is most of what we are, buys you nothing. You would be buying on cost alone. That is a legitimate reason to switch, but it is a much thinner one, and you should hold us to a much harder price.
Owning the whole call path is a trade, not a free win. If your team wants to change the LLM behind an assistant next quarter, an orchestration platform gives you that and we do not. Decide which one you actually want before you talk to us.
If the stack works, the bill 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.
Run it against your own invoice.
The calculator opens pre-filled for an ElevenLabs-based stack. Put in your real minutes, your real languages, and your real blended rate. It will give 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 people who would actually run the cutover, not a sales engineer reading a deck. Bring your invoice and your worst-performing language. We will tell you in that call whether this is worth doing.
One real call. The caller flips language mid-sentence and Agni does not miss a beat. Old pipeline tech physically cannot do this.
Watch the demo →Opens configured for an ElevenLabs-based stack. Your volumes, your currency, your realistic year one, in about 90 seconds.
Run the calculator →Bring the invoice. We read it line by line and hand back the cost model whether or not you go ahead with us.
Book the audit →