Built in the UAE, Munsit sets a new global
standard for Arabic speech recognition, powering seamless transcription across
private and public services

DUBAI, UAE –
April 30, 2025 – CNTXT AI, the UAE-based Data
and AI company, today announced the launch of Munsit — a next-generation Arabic speech-to-text model that
outperforms every global model on Arabic, including those from OpenAI, Meta, Microsoft
and ElevenLabs.

Munsit”
— derived from the Arabic root for “to listen” — symbolizes a breakthrough in
voice technology that truly listens with attentiveness and understands the
richness of Arabic speech. Developed entirely in the UAE, Munsit sets a new
benchmark for transcription accuracy across Modern Standard Arabic and 25+
dialects, enabling seamless Arabic voice data processing across real-world
applications.

This
breakthrough reflects CNTXT AI’s mission to build sovereign technology — AI
built in the region, for the region — that competes globally. The model is
available now via API, and on-premises deployment for organizations seeking
full data control.

How Munsit Powers Arabic Voice
Solutions

Munsit is designed to deliver
highly accurate Arabic transcription across diverse, real-world scenarios.
Addressing the increasing demand for reliable Arabic language solutions, Munsit
empowers essential applications, including:

●       
Subtitling for Content Creators:
Automatically generates precise Arabic subtitles for films, videos and
podcasts.

●       
Meeting Notes and Minute-Taking:
Transcribes meetings and discussions into Arabic, supporting official
documentation and efficient record-keeping.

●       
Call Center Support: Converts voice
messages and chatbot interactions in Arabic into text, streamlining feedback
and quality assurance processes.

●       
Government and Public Services:
Offers transcription and dialect comprehension services tailored for public
sector needs, such as processing citizen requests and ensuring accessible
communication.

Built for Arabic, Trained on Real Voices

To
create Munsit, CNTXT AI processed over 30,000 hours of Arabic audio, refining
it into a high-quality 15,000-hour dataset that captures a wide range of
dialects, accents, age groups, and environments.

Munsit
is powered by advanced AI and high-performance NVIDIA infrastructure, delivering fast, accurate transcription for
a variety of Arabic-speaking use cases — from call centers and public services
to education and media.

Leading Global Performance in Arabic AI

Benchmarking
on Hugging Face leaderboard confirmed
that Munsit-1 outperformed leading global speech recognition systems —
including OpenAI’s Whisper and GPT-4o Transcribe, Meta’s SeamlessM4T,
ElevenLabs’ Scribe, and Microsoft Azure’s Speech-to-Text —on Arabic datasets.

CNTXT
AI has also released a detailed research
paper, outlining the model’s architecture, training methodology and
evaluation results.

“Munsit
is more than just a breakthrough in speech recognition — it’s a declaration
that Arabic belongs at the forefront of global AI,” said Mohammad Abu Sheikh, CEO of
CNTXT AI. “We’ve proven that world-class
AI doesn’t need to be imported — it can be built here, in Arabic, for Arabic.
This launch sets a new standard for sovereign technology, made in the UAE and
ready for the world.”

A Strategic Step Toward Arabic-Language AI Leadership

Munsit-1
is the first step in a broader roadmap toward a full suite of Arabic voice
technologies — from TTS to AI voice assistants.

“This
is only version one,” added Abu Sheikh. “What comes next will redefine how
Arabic is understood, spoken, and processed by machines — on our terms, in our
language.”

 

ABOUT

CNTXT
AI is a UAE-based Data and AI company that enables organizations to prepare,
build, test, deploy, and scale sovereign AI solutions while maintaining full
data control.

Our
comprehensive suite of solutions transforms data into actionable AI
applications—seamlessly, securely, and without compromising sovereignty. From
AI-ready data pipelines to scalable deployment and industry-standard
validation, we ensure AI adoption is practical, compliant, and optimized for
real-world impact.

For
more information on Munsit, visit: www.cntxt.tech/munsit

For media
inquiries, interviews or partnerships contact Rym Bachouche at rym.bachouche@cntxt.tech or Lara
Geadah at Lgeadah@cameocomms.me