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MISRAJAI
What we believe

We understand deeply. We build from the source. And we run with confidence.

Speech Intelligence

Your Arabic voice channel, finally searchable

We understand Arabic as people speak it.

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What it does

From speech to understanding. From text to voice.

From understanding speech, sounds and dialects to generating natural, accurate voice.

Meeting audio into decisions, actions and risks

Sada runs multi-agent analysis over the transcript, so a meeting ends with a structured record rather than a wall of text.

Arabic transcription that handles dialect

Speech recognition trained for Arabic rather than adapted to it, so the transcript is usable input for search and for analysis.

Voice generation with a real regional accent

Sawt Najd is a Najdi TTS model trained on Najdi broadcast speech, a real Saudi voice, not an MSA approximation.

Diacritization before synthesis

Sadeed restores Tashkeel so a TTS system reads unambiguous text instead of guessing the word.

Operational outcomes

Operational outcomes

What changes once what was said can be found.

The voice channel becomes searchable

Calls and meetings join the rest of the organisation's searchable record instead of piling up as unprocessed audio.

Meetings end with a record, not a recording

Decisions, actions and risks are written down as structure, which is the part anyone actually needs afterwards.

Sensitive audio never leaves the building

The recordings an organisation is least able to send to a cloud service are the ones this handles on-premises.

Products

Delivered through Sada and Sawt Najd

Two directions, one stack: Sada turns speech into text — dialect-aware Arabic transcription that ends a meeting with a structured record of decisions, actions and risks, on your premises. Sawt Najd turns text into speech — a Saudi voice trained on broadcast Najdi, natural and precise rather than a Fusha imitation.

How it deploys

On-premises for the audio that cannot leave, the cloud API for the rest, or dedicated in-Kingdom hosting in between.

  • On-premises
  • Cloud API
  • Dedicated in-Kingdom
  • On-premises

    Sada runs meeting intelligence entirely inside your environment.

  • Cloud API

    Speech models through Kawn Console for teams building voice features into their own applications.

  • Dedicated in-Kingdom

    Hosted inside Saudi Arabia where residency is required but running the hardware is not practical.

Proof from across the sectors

Proof from across the sectors

Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.

A national statistics authority · Customer case study

Read the case study

Why the channel, not the technology

Sada turns meeting audio into decisions, actions and risks on-premises, understanding both directions of the voice channel - transcription and generation - in one place. Our speech research also produced Nabr, a Quranic recitation model analysing 8 acoustic properties per sound at 0.59% character error rate - the level our acoustic modelling operates at.

0.59%
Character error rate, Nabr, phoneme level
8
Acoustic properties analysed per sound
22.4%
Sawt Najd, beats human WER
See the benchmarks

Both directions in one place

Understanding and generating audio are one procurement for a contact centre, one solution, not two listings.

Speech models built at the phoneme level

Our acoustic modelling is trained on Arabic sound, not fine-tuned from an English model, what makes dialect tractable.

The most sensitive audio an organisation produces

Board minutes and HR investigations are exactly what a cloud-only tool cannot take, why Sada deploys on-premises.

Get started

Deploy Speech Intelligence

Tell us the problem. We will tell you honestly whether this is the right answer, and what it takes to deploy.