One of the world's most natural, emotive, human voice AI.

Speech to speech. Real time. In 50+ languages and the dialects underneath them.

Under 500ms
Response time
50+
Languages
200+
Regional dialects
1,500+
Businesses served
AGNI VOICE
tap to talk
emotionally intelligent AI voice
LIVE
A large group of people of many nationalities and ages

One voice.
Every one of them.

Nobody calling your business chose which language your voice vendor happened to train on.

Coverage

Don't just speak their language.
Speak their dialect.

A caller in Manila can tell in two seconds whether the voice is from anywhere near them. When it is, they relax, they stay on the line, and the call gets resolved on the first attempt instead of the third.

50+
Languages, live in production
200+
Regional dialects, natively spoken
7
Regions, starting where others stopped

We built from the markets that got ignored first.

Southeast Asia, South Asia and the Gulf were the starting point, not a roadmap line. And not at country level. Dubai does not sound like Abu Dhabi, and Surabaya does not sound like Jakarta.

Switches language mid-sentence Code-mixed speech City-level register

Some of these dialects are still in the pipeline and being fine-tuned.

They trust it

An accent from their own city is the fastest trust signal there is. It lands before the first sentence finishes.

They stay on the line

Callers hang up on a voice that sounds foreign to them. Fewer abandons, fewer repeat calls about the same thing.

The call gets resolved

First call resolution is the number that actually moves. Understanding the caller the first time is how you move it.

Where the pause comes from

One of the world's fastest,
lowest latency voice models.

Everyone else runs three models in a row. We run one.

Transcribe, think, synthesise. Each hand-off adds time you can hear, and the emotion is thrown away at the very first step, before the model that answers ever sees it.

Stitched pipelineSTT → LLM → TTS 500 to 800 ms
STT
LLM
TTS
AgniSPEECH TO SPEECH · ONE MODEL Under 500 ms
Voice in, voice out

Both lanes drawn to one scale, 0 to 800 ms · midpoints shown
Pipeline figure is a typical assembled stack, not a specific vendor.

Powered by emotional speech intelligence.

It understands not only what they say, but how they say it, with live sentiment analysis running on every call.

The moment a call becomes text, the part that told you how the person felt is gone. Speech to speech never converts, so it hears the strain and answers with a register of its own. Understanding an emotion is only half of it. You have to be able to express one.

Empathy

Hears distress and slows down. Acknowledges before it starts solving.

Assertiveness

Holds a position under pressure without going cold. Collections, renewals, disputes.

Warmth

The difference between correct and welcome. Carries the brand rather than reciting it.

Calm

Steadies a caller who is escalating instead of matching their pace and making it worse.

Urgency

Recognises when speed is the service, and drops the pleasantries that waste it.

Discretion

Knows what not to say out loud, and when a caller is somewhere they can be overheard.

What it hears

How it answers

Illustrative conversation. Signal scores explain the behaviour, they are not measured values.

Where it goes to work

Two ways in.
Both of them big.

Inbound and outbound

Contact centres

Answer on the first ring, qualify, escalate warm with the context attached, and log every call. Outbound too: collections, renewals, reactivation and follow-up.

  • No menu tree, no hold music
  • Every call transcribed and scored, not a sample
  • Escalation carries the history with it
  • Same quality at 3am as at 3pm
Build on it

Platforms and APIs

One endpoint. Stream audio in, stream audio back. Telephony on Twilio, Plivo and SIP from day one, and you can put your own name on the front of it.

  • Streaming API built for real time
  • Bring your own telephony
  • White label for your own customers
  • Function calling into your systems

Use case - What do you want voice to do?

Same engine, different register. Pick the conversation that is costing you the most and see what changes.

Speed, fluency, scale

Fast enough to feel human.
Built to scale without friction.

Mid-sentence

Language switching

The caller changes language halfway through and it follows, with no handoff and no restart. The single thing customers ask for most.

Interruption handling

Cut it off mid-sentence and it stops, listens, and picks up where you took it, the way a person does.

Turn-taking

Knows the difference between finished and pausing to think. No cut-offs, no dead air.

Scalable concurrency

From a handful of calls to enterprise volume. Capacity scales to whatever you need.

Noise cancellation

Reduces background noise on a real line, where demo bots tend to fall apart.

Grounded and on policy

Answers from your knowledge base and stays inside the policy you set for it.

Function calling

Books, looks up and acts mid-call. Open API, with CRM, calendar and booking integrations.

Enterprise controls

SOC 2 in process, with HIPAA, GDPR, data residency and a 99%+ uptime SLA.

Already paying for something else

ElevenLabs. Vapi. Retell. Bland.

Not happy with your voice AI?
Switch today.

You picked your stack when there was nothing better for your markets. Agni speaks your customers' regional dialects, switches language mid-sentence, and typically costs 25 to 50% less per minute than major voice AI providers.* We compare it on your own calls before you move anything, and you can keep your existing numbers.

Moving from

ElevenLabs

Regional dialects and mid-sentence switching for the markets you actually serve.

Compare ElevenLabs →
Moving from

Vapi

One vendor for speech, AI and voice, in your customers' own languages and dialects.

Compare Vapi →
Moving from

Retell

Bring your current setup and invoice. We compare it on your own calls.

Book a demo →
Moving from

Bland

Bring your current setup and invoice. We compare it on your own calls.

Book a demo →
BOOK A DEMO

We run a side-by-side on your own calls before you commit to anything. *Based on published list prices for major voice AI providers, checked September 2026. Excludes platform subscription and telephony; your result depends on configuration and volume.

Customers

Trusted by 1,500+ businesses around the world.

Answering calls in the language and the accent each caller grew up with. Four years building voice, two of them on this engine, across property, education, financial services, logistics and immigration.

Danube PropertiesHMELOswaal BooksOxbridgePalladium GroupEmperiumeSanadMerlinRadiantBizSBC GroupAnyHelpNowEstate 4UDigiDznDG Canada Immigrationand more
A large group of people of many nationalities and ages
Many languages.
One voice.

All of this, from $0.06 a minute.*

One unified speech-to-speech model handles the whole call: voice in, voice out. Not a transcriber, a language model and a synthesiser stitched together, which is why it keeps the emotion the caller actually used.

*Indicative Agni V3 entry rate, not a proposal or offer, plus a platform subscription from $150 a month, depending on concurrency. Setup may apply depending on complexity. Pricing varies by region, market and solution.