✳
The AQUAA™ series
One sovereign family.
Every layer of the conversation.
Create, evaluate and govern your AI workforce — voices, flows and knowledge — powered by AQUAA, our sovereign AI model family, purpose-built and trained in-house.
The entire stack deploys inside your perimeter. Your data never leaves. No per-token meter on your conversations.
The family
AQUAA-STT
Speech recognition
AQUAA-LLM
Reasoning & intelligence
Your infrastructure · Your data
Your models · Your voice
The AQUAA™ model family
Four models, one conversation
Two years of building. Every one of them purpose-built, trained and versioned in-house — so an enterprise can own the entire stack: the platform, the models, and even the voice their customers hear.
AQUAA-STT
Speech recognition
English · Hindi + English code-switch · 22 Indian languages · universal lane
22 Indian languages
Hinglish code-switch
universal lane
AQUAA-LLM
Reasoning & intelligence
From lightweight routing to full conversational depth — tiered to the task
routing tier
conversational tier
tiered to the task
AQUAA-TTS
Natural speech
Live and realtime lanes · 30+ languages
live lane
realtime lane
30+ languages
AQUAA-Vox
Brand voice
Create your own brand voice — your own people or professional voice artists. No more rented cloud voices
your own people
voice artists
owned by contract
The signal path
One call, four models, no hop outside.
A customer speaks, and every stage that follows runs on your own infrastructure. Nothing is handed to a third-party API mid-sentence, which is what keeps both the latency and the transcript inside your estate.
What stays inside
Models called outside your estate
None
Per-token meter on conversations
None
External round-trips in the loop
0
Architectural facts, not performance promises. The entire loop lives inside your walls.
Input
The caller speaks
Media terminates inside your own network, on your own trunks.
→
AQUAA-STT
Heard
Transcribed live, mid-code-switch, without a hop to a public API.
→
AQUAA-LLM
Understood
Intent, entities and the next action, tiered to the task at hand.
→
Workflow
Executed
The SME AI worker acts in your systems, or stops at a human gate.
→
AQUAA-TTS + Vox
Answered
Spoken back in your own brand voice, in the caller's language.
Rented, or owned
The difference between adopting AI and surrendering your conversations.
For banks, insurers and telcos, that is not a feature. Every one of these models is purpose-built, trained and versioned in-house — recorded from your own people, running on your own infrastructure, with nothing leaving your perimeter.
Sovereign AI, for real.
A rented cloud model against the AQUAA™ family, on the terms an enterprise actually signs
|
Rented cloud AI |
AQUAA™ |
| Where the model runs |
Someone else's cloud region |
Inside your perimeter |
| Where your transcripts go |
Out of your estate, under their terms |
Nowhere — they never leave |
| How you are billed |
Per token, per character, per minute |
No per-token meter on conversations |
| Who owns the voice |
Rented — a shared synthetic persona |
Yours, by contract, forever |
| Whose people it sounds like |
A stock persona shared by everyone |
Your own, recorded with consent |
| When the model changes |
When the vendor decides |
When you promote a new version |
| Language behaviour |
Language-by-language, cleanly switched |
Trained on code-switching as it happens |
Language
Built for how India actually speaks.
A caller does not switch cleanly between languages. They start a sentence in English, finish it in Hindi, and expect to be understood. AQUAA-STT is trained on that, not around it.
Twenty-two Indian languages on speech recognition, thirty-plus on speech output, and one owned brand voice that carries across every one of them.
22
Indian languages
Speech recognition across the languages your floor actually takes calls in.
30+
Languages spoken
Natural speech output, on both the live and realtime lanes.
1
Voice, every language
One owned brand voice carries across every language it speaks.
Lanes
stt.universal
One lane that takes any of the supported languages without being told which to expect.
stt.code-switch
Hindi and English inside one sentence, transcribed as spoken rather than forced to one language.
tts.live
Conversational latency for a caller waiting on the line.
tts.realtime
Streamed output for interruption-tolerant, barge-in conversations.
A model family is only sovereign if the platform around it is.
These models are built, versioned and promoted in AI Studio, and they run on the platform inside your perimeter.
Own the stack
Hear your own voice, on your own models.
Bring a recording of one of your own people and a handful of your real call types. You will hear AQUAA-Vox speak in your brand's voice, on your own infrastructure.
Contact us
Deployment & pricing options · info@aisqad.com
01
Bring a recording of one of your own people
02
Hear AQUAA-Vox speak in that voice
03
Score it against your own call types
04
Decide where the models will run