MASNOOD

Capabilities

Enterprise-grade capabilities for Arabic AI data and model evaluation.

Arabic Data Collection

We source high-quality Arabic voice and text datasets across regions, dialects, demographics, and recording environments.

Request this service

Audio Transcription

Human-verified transcription for calls, telephonic conversations, and speech datasets — verbatim output with diacritics, punctuation, phonetic rules, and tags such as [noise], [laughter], and [overlap].

Request this service

Data Annotation & Labeling

We classify, label, and enrich text and audio for sentiment analysis, speaker identification, dialect tagging, keyword labeling, and ML training workflows.

Request this service

Dialect Classification

We help AI teams classify Arabic data by dialect, region, speaker attributes, and linguistic context.

Request this service

LLM Evaluation

We evaluate Arabic model outputs for accuracy, relevance, cultural appropriateness, safety, and linguistic quality.

Request this service

AI Safety & Red Teaming

We test models for unsafe outputs, bias, hallucinations, cultural sensitivity issues, and Arabic-specific failure modes.

Request this service

Data Engineering & Analytics

We support organizations in preparing, structuring, validating, and operationalizing data for analytics and AI use cases.

Request this service

Medical AI Data

Clinical-grade Arabic audio and text for healthcare AI — EHR speech, clinical dictation, and HIPAA-aligned delivery for US and EU programs.

Request this service

32 Arabic Dialects — Coverage Matrix

Six geographic groups mapped to native in-region collection and annotation — not Modern Standard Arabic alone.

Dialect groupAccents coveredPrimary regions
Gulf (Khaleeji)Najdi, Hijazi, Gulf Urban, Emirati, Qatari, Kuwaiti, OmaniSaudi Arabia, UAE, Qatar, Kuwait
LevantineDamascene, Aleppine, Lebanese, Jordanian, PalestinianSyria, Lebanon, Jordan, Palestine
MaghrebiMoroccan Darija, Algerian, Tunisian, Libyan, HassaniyaMorocco, Algeria, Tunisia, Libya
NiloticCairene, Sa'idi, Alexandrian, SudaneseEgypt, Sudan
IraqiBaghdadi, Moslawi, BasrawiIraq
YemeniSana'ani, Hadrami, AdeniYemen

Code-switching coverage

Intra- and inter-sentential Arabic–English and Arabic–French mixing tagged for commercial hubs — a gap generic providers miss.

Medical AI Data Excellence

Clinical-grade Arabic audio and text datasets for healthcare AI — built with domain specialists and strict compliance frameworks.

  • High-precision transcription of clinical terminology, bilingual medical jargon, and patient symptoms
  • Datasets for clinical dictation, EHR speech interfaces, and virtual voice scribes
  • HIPAA-aligned handling for US healthcare programs; GDPR for EU-facing deployments
Building clinical Arabic AI?

Healthcare compliance

HIPAA

Structured for US clinical and health-tech procurement requirements.

GDPR

Privacy-by-design workflows for EU data subjects and cross-border delivery.

PII redaction

Automated scripts plus human review to mask names, IDs, and contact data.

AWS S3 + KMS

Logically isolated, encrypted storage for raw audio and transcripts.

Request a scoped proposal for medical transcription, annotation, or evaluation datasets.

Platform Vision

Coming Capabilities for an Arabic Data Platform

These capabilities are framed as a future platform direction, not fully launched products.

MASNOOD Collect
MASNOOD Annotate
MASNOOD Evaluate
MASNOOD Data Platform
Contributor Network
Dataset Marketplace

Turn your data need into an executable project.

MASNOOD helps define scope, quality, security, and the delivery model.

Request a Proposal