Managed cloud
Fastest to launchWe host, scale, and operate everything. You define the workflows and go live in days.
Control
EvioraxSwar
Every caller, understood.
हर आवाज़, समझी हुई।
Multilingual voice AI that answers, resolves, and follows up — at the speed of a real conversation. Runs on your lines, in your language, inside your data perimeter.
≈0.5s response10+ Indian languagesYour data perimeter
Live callLine 04 · Billingहिंदी ⇄ EN
Caller · हिंदी
“मेरा बिल इस महीने दुगना क्यों आया है?”
Agent · हिंदी
“मैं अभी देखती हूँ। आपके खाते में इस महीने...”
Language switch · हिंदी → English
Caller · English
“Wait — can we do this in English?”
Agent · English
“Of course. Your bill doubled because...”
Resolved on the call · Summary sent by SMS
One Agent, Every LensIt speaks the caller's
It speaks the caller's
language. Adapts to the room.
Not translation bolted on — native listening and speaking, tuned to accent, idiom, and tone. 10+ Indian languages, one agent, zero handoffs between them. Switch the lens below.
English"Your service will be restored by 6 PM today."
हिंदी"आपकी सेवा आज शाम 6 बजे तक बहाल हो जाएगी।"
ગુજરાતી"તમારી સેવા આજે સાંજે 6 વાગ્યા સુધીમાં પુનઃસ્થાપિત થશે."
தமிழ்"உங்கள் சேவை இன்று மாலை 6 மணிக்குள் மீட்டமைக்கப்படும்."
বাংলা"আপনার পরিষেবা আজ সন্ধ্যা ৬টার মধ্যে পুনরুদ্ধার করা হবে।"
On-premise · Data residency · Sovereign by design
Your data never leaves.
Deploy Swar inside your data center or your own cloud. Calls, recordings, transcripts, and caller PII stay inside your perimeter — the AI models themselves can run in-network, even fully air-gapped for defense and government deployments.
Your perimeter
- Voice calls
- Recordings
- Transcripts
- Caller PII
- AI models
in your data centrein your own cloudair-gapped
Never leaves
Outside your perimeterNothing. No call audio, no transcripts, no PII, no training data.
No customer data crosses a vendor boundary. Nothing is used to train anyone else's models. Data residency isn't a checkbox — it's the architecture.
Industries · Jurisdictions
Built for the regulated world.
Banking. Insurance. Telecom. Utilities. Government and citizen services. If your callers' data is regulated, your voice AI has to live where your compliance already does. Swar slots inside your existing perimeter, so there's no vendor compliance review standing between you and going live.
BankingInsuranceTelecomUtilitiesGovernmentCitizen ServicesHealthcareBPOPSUsSmart Cities
Regional language supportOn-premise deploymentsDeployed at national scale
≈0.5s latency · Natural turn-taking
Fast enough to feel human.
Sub-second responses, real interruption handling, natural turn-taking. Callers don't wait for a robot to finish a script — they talk, get interrupted back, change language mid-sentence, and the agent keeps up.
Caller
├── 0.48s ──┤
Agent
Caller
One real exchange — the caller speaks, the agent answers half a second later, the caller cuts in mid-sentence, and the agent yields.
Latency≈0.5sresponse latency
Answer rate100%calls answered on the first ring
Availability24/7always on, no queue, no hold music
Where it fits the use case, we run direct speech-to-speech — audio in, audio out, no text round-trip — for the most fluid conversations available today.
Hybrid voice · Recorded + generated
Sounds like a person, because a huge part of it is.
For high-frequency lines — greetings, confirmations, common answers — the agent uses studio-recorded human voice clips. For everything else, it generates speech live in the same cloned voice. The result is seamless: callers hear one consistent, natural voice, with the warmth of a recording and the flexibility of AI.
Recorded · human voiceGenerated · same voice
One continuous voiceNo audible switch
Higher trustHigher completion ratesLower cost per call
WorkflowsFive workflows.
Five workflows.
One voice.
Sales outreach
DialQualifyHandoff
Outbound calling that qualifies before it ever reaches a human rep.
Customer support
AnswerResolveLog
Inbound issues answered and resolved without a queue.
Grievance redressal
AnswerRegisterCallback
Escalation and a closed-loop callback, tracked end to end.
Citizen services
AnswerVerifyRoute
Verification and routing for government service lines.
Collections & reminders
RemindNegotiateRecord
EMI and payment reminders that stay polite, compliant, and logged.
Integrations · Telephony · CRM
Your lines. Your systems. No rip-and-replace.
Works with your existing telephony — SIP trunks, PRI gateways, cloud telephony providers — and connects to your CRM, ticketing, and internal APIs. The agent can fetch caller context before the phone is answered and write back outcomes the moment the call ends.
On the line
SIP / PRI trunksCloud telephonyPSTN gateways
Swar
On the data side
CRM syncTicketingWhatsApp follow-upWebhooksCustom APIs
Context in — before the phone ringsOutcomes out — the moment it hangs up
Deployment
Same agent. Wherever you need it.
Your VPC
Your cloud, our opsWe deploy the full stack inside your cloud account. Data stays in your environment; we handle upgrades and reliability.
Control
On-premise
Fully sovereignThe entire stack — models included — inside your data center. Air-gapped options for government and defense.
Control
In-house speech stack · STT + TTS
Our own ears. Our own voice.
Most voice agents rent their hearing from one vendor, their voice from another, and route every second of your callers' audio through both. Swar's speech-to-text and text-to-speech are built in-house — trained for Indian speech as it actually sounds on a phone line — and they ship inside the same perimeter as everything else.
Signal pathLine 04 · 8 kHz narrowbandIn-house · end to end
Listen · Swar STTCaller audio · narrowband, noisy, switches mid-sentence
Understand
merabillइस महीनेdoublekyunaaya?
hi ⇄ en · one utteranceSpeak · Swar TTS
“आपका बिल दुगना इसलिए आया क्योंकि…”
Agent audio · one voice, every language8 kHz · telephony-native10+ Indian languagesCode-switch mid-sentenceRuns in your perimeter
01
Listen
Swar STTA speech-to-text model that expects the phone, not the podcast: compressed narrowband audio, road noise, a caller who starts in Hindi and finishes in English.
- Trained for
- Indian speech on real phone lines — accents, idiom, background noise
- Languages
- Hindi, English, Gujarati, Tamil, Bengali, Marathi, Telugu, Kannada, Malayalam, Punjabi
- Code-switch
- Mid-sentence, in one pass — no language-detect round trip
- Streams
- Partial transcripts while the caller is still talking
02
Speak
Swar TTSA text-to-speech model cloned from the same studio recordings the agent plays, so a generated line and a recorded one sound like one person on one call.
- Voice
- Cloned from the agent's own studio recordings — recorded and generated lines match
- Languages
- One voice across all 10+ languages, switching mid-call
- On the line
- Renders straight to the call, at line sample rate
- Reads right
- Indian names, ₹ amounts, dates and OTPs, read the way a person reads them
No third-party speech API in the call pathShips with the rest of the stack — cloud, VPC or air-gappedTuned on the line, not in the lab
Bring your own model · STT · TTS · S2S
Swap the model. Keep the analytics.
Swar's own speech models are the default, not a lock-in. Plug in any speech-to-text, text-to-speech or speech-to-speech provider you already trust — or a model you trained yourself — and every call still lands in the same place: one transcript, one outcome, one set of analytics, written back to the systems you already run.
Patch bayLine 04 · three socketsSwar core · your models
Call analyticsLine 04 · 03:12Illustrative call
Plugged in: STTSwar STTTTSSwar TTSS2SSwar S2S
- Transcript
- “mera bill इस महीने double kyun aaya?”Full, code-switched, inside your perimeter
- Languages
- hi ⇄ en · switched mid-sentenceLanguage mix per call
- Turn latency
- ≈0.5s avgPer turn, per call
- Intent
- Billing query · duplicate charge
- Outcome
- Resolved · no handoffWritten back to your CRM at 03:12
- Sentiment
- Frustrated → settled
Same six fields, whichever model is plugged in.Unchanged
Your model, your callOne transcript, one outcome, one write-backAnalytics never leave your perimeter
Provider names are trademarks of their respective owners and appear only as examples of the kind of model each socket accepts. No affiliation or endorsement is implied. Ask us which integrations are live for your deployment.
From the Eviorax lexicon
Entry 02 · 06
Swar
/swər/ · nounSanskrit, स्वर — “voice; a note in music”
Eviorax productA multilingual voice AI that answers, resolves, and follows up on real phone lines — inbound and outbound, at the speed of a real conversation.
- Built for
- Enterprises, telecoms, banks, utilities & government
- Speaks
- All major regional languages of India
- Runs
- Inside your data perimeter — even air-gapped
- Proven at
- Sterlite Technologies — live support & service lines
Built in Bharat · Ready for the world
Voice has no borders.
Swar learned to hold a call in the hardest multilingual market there is — callers who switch languages mid-sentence. Everything after that is an easier version of the same problem.
Ready forAny language.
A language-agnostic core
The architecture that holds Hindi and Tamil in one call holds Spanish, Arabic, French, or Swahili the same way — a new market is a language pack, not a new product.
One build · every market
Outside India? Same agent, on global providers.Explore Swar International
Questions worth asking
Things worth asking.
Still something unanswered? We'd rather work through it on a call than leave it to a datasheet.
Talk to usHow many languages does it support?
Every major Indian language — Hindi, English, Gujarati, Tamil, Bengali, Marathi, Telugu, Kannada, Malayalam, Punjabi — with native accent and idiom handling, and mid-call switching. Callers change language mid-sentence; the agent follows.
What's the latency like?
Around half a second from the caller finishing to the agent speaking — fast enough that conversations feel natural, with real interruption handling.
Can it run fully on-premise?
Yes. The complete stack, including the AI models, can run inside your data center or VPC — air-gapped where required. No call audio, transcript, or PII ever leaves your perimeter.
How does it handle our compliance requirements?
Because the deployment lives inside your infrastructure, your existing certifications and audit scope continue to cover it. There's no external vendor processing your caller data.
Can it integrate with our CRM and telephony?
Yes — SIP/PRI and cloud telephony on the line side; CRM, ticketing, and custom APIs on the data side. Context is fetched before the call and outcomes are written back after it.
Is this in production or a demo?
In production — live inbound and outbound traffic with Sterlite Technologies, answering 100% of calls on the first ring, 24/7.
What does a pilot look like?
One line, one workflow, your real callers. We typically stand up a pilot in weeks, measure resolution and containment against your current baseline, and scale from there.
Put an agent
on your lines.
Enterprise, telecom, banking, utilities, government, BPO — if your phones ring, we answer. In your language, on your infrastructure, from the first ring.