One of the world's most
natural, emotive,
human voice AI.
Speech to speech, real time, with deep regional dialects across the world. It understands not only what they say, but how they say it.
It understands your speech. And your tonality.
50+ languages. 200+ dialects.
One global human voice.
Everyone counts languages. The register is what decides the call. Speech to speech, not translation then dubbing.
Hover a region to see some of the languages it speaks there. Tap on mobile.
Not just languages. Regional dialects.
Agni picks up the register a caller is using and answers in it. Not the language. The way it is actually spoken.
A sample, not the list. Dialect coverage is confirmed per deployment.
Sector playbooks, pre-trained.
Already on another stack? One model instead of three.
One vendor for the whole call instead of three or four stitched together, and dialects the assembled stack cannot reach. We run the migration.
Everything it does, plus your customers' languages spoken properly.
COMPARE →SDK-compatible drop-in. Keep your webhooks and handlers.
COMPARE →Bring your current config and invoice. We map the path off it.
BOOK THE AUDIT →Bring your current config and invoice. We map the path off it.
BOOK THE AUDIT →*Pending final confirmation. Comparisons describe assembled multi-vendor pipelines, verified against public data.
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.
One voice.
All of this, from $0.05 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.
*Agni V3 entry rate, indicative and pending final confirmation, plus a one-off deployment fee.