Voice channel

Phone agents that
sound human.

AI that picks up on the first ring, speaks twelve Indian languages, and resolves 96% of calls without escalation.

₹500 free credit · no card · live in minutes

198ms
avg response
12
Indian languages
96%
resolved
P
Priya Mehta
+91 98253 41122 · inbound · Mumbai
On call · 01:14
00:02
Priya
Hi, I’d like to book a consultation for this week.
00:05
AIVA
Hi Priya! This week has Thursday at 11 AM and Friday at 2 PM or 4 PM open. Which works for you?
00:12
Priya
Friday 2 PM is perfect.
00:14
AIVA
Booked — Friday at 2 PM. I’ll send a confirmation SMS. Anything else before your appointment?
gpt-4o-realtime · 197ms · appointment bookedResolved · no human needed

Language · Latency · Conversation

Built for real conversations.

Not just speech-to-text in front of a chatbot. AIVA Voice listens, understands, interrupts gracefully, and answers in turn.

Multilingual

Speaks twelve Indian languages.

Hindi, Marathi, Tamil, Gujarati, Bengali, Telugu, Kannada, Malayalam, Punjabi, Odia, Assamese, Urdu — with native scripts and regional context. Code-switching works too: a customer asking “yaar, mera order kahan hai?” gets fluent replies, not awkward translations.

Languages live12
Shipping next+6 (Q3 2026)
Code-switchingYes — automatic
हिन्दी
Hindi
मराठी
Marathi
தமிழ்
Tamil
ગુજરાતી
Gujarati
বাংলা
Bengali
తెలుగు
Telugu

“नमस्ते, मैं AIVA हूँ। मैं आपकी कैसे मदद कर सकती हूँ?”

Hindi · “Hello, I’m AIVA. How can I help you?”

Sub-second

198ms response. Faster than a pause.

The average human conversational pause is about 300 milliseconds. AIVA responds in 198ms on average — so it never feels like you’re talking to a machine. No awkward silence, no robotic “let me check that for you” while a backend spins.

Inference runs in our Mumbai region for India calls. EU and US customers get equivalent latency from Frankfurt and Virginia.

AIVA
198ms
Human pause
300ms
Typical IVR
600ms
Old chatbots
950ms

Why this matters: conversation feels natural under 300ms. Above that, customers start treating it like a robot.

Conversational

Handles interruptions. Like a human would.

When a customer cuts AIVA off mid-sentence — to correct a detail, change topic, or ask a follow-up — AIVA stops cleanly, reroutes, and picks up the new thread. No “I’m sorry, I didn’t catch that” loops. No starting over.

This is the test that separates real conversational AI from voice-prompt IVRs. Try interrupting your bank’s phone tree mid-sentence — it falls apart. AIVA doesn’t.

AIVA
We have Tuesday at 3 PM and Thursday at 10 AM or 2 PM available
Priya
Wait, actually do you have anything tomorrow morning?
AIVA
Tomorrow has 9 AM and 11 AM open. Shall I book you in for one of those?
Priya
11 AM please. Perfect.

Architecture

How a call flows through AIVA.

01
Customer dials

Your Twilio number. AIVA answers on the first ring.

+0ms
02
Language detected

First utterance analysed. Native model identifies language in 40ms.

+40ms
03
Context loaded

Customer history fetched from CRM + AIVA session cache.

+31ms
04
Response generated

LLM inference in the detected language, streamed to TTS.

+82ms
05
AIVA speaks

Native-quality audio sent back through Twilio. Caller hears reply.

+44ms
Total198ms average260ms p95All inference runs in Mumbai for India calls. Frankfurt and Virginia for EU and US.
TwilioSIP trunking · numbers · recording
Zendeskauto-ticket on escalation
SalesforceCRM lookup on call open
Slacklive escalation alerts

Voice FAQ

Questions about voice.

Yes — natural speech, sub-second responses, and it handles interruptions gracefully instead of talking over the caller.

We provision a number for you in minutes, or you can port your existing business line.

All twelve — it detects the caller’s language from the first words, accent and all, and replies in it.

Yes. When a call needs a human, AIVA hands off warmly with the full context of the conversation.

Immediately, every time — no hold music, no menu tree, sub-second to first response.

Hear it for yourself in four minutes.

Call +91 96623 20707 right now — AIVA picks up, in your language.