Arabic Data Collection
We source high-quality Arabic voice and text datasets across regions, dialects, demographics, and recording environments.
Request this serviceMASNOOD
Enterprise-grade capabilities for Arabic AI data and model evaluation.
We source high-quality Arabic voice and text datasets across regions, dialects, demographics, and recording environments.
Request this serviceHuman-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 serviceWe classify, label, and enrich text and audio for sentiment analysis, speaker identification, dialect tagging, keyword labeling, and ML training workflows.
Request this serviceWe help AI teams classify Arabic data by dialect, region, speaker attributes, and linguistic context.
Request this serviceWe evaluate Arabic model outputs for accuracy, relevance, cultural appropriateness, safety, and linguistic quality.
Request this serviceWe test models for unsafe outputs, bias, hallucinations, cultural sensitivity issues, and Arabic-specific failure modes.
Request this serviceWe support organizations in preparing, structuring, validating, and operationalizing data for analytics and AI use cases.
Request this serviceClinical-grade Arabic audio and text for healthcare AI — EHR speech, clinical dictation, and HIPAA-aligned delivery for US and EU programs.
Request this serviceSix geographic groups mapped to native in-region collection and annotation — not Modern Standard Arabic alone.
| Dialect group | Accents covered | Primary regions |
|---|---|---|
| Gulf (Khaleeji) | Najdi, Hijazi, Gulf Urban, Emirati, Qatari, Kuwaiti, Omani | Saudi Arabia, UAE, Qatar, Kuwait |
| Levantine | Damascene, Aleppine, Lebanese, Jordanian, Palestinian | Syria, Lebanon, Jordan, Palestine |
| Maghrebi | Moroccan Darija, Algerian, Tunisian, Libyan, Hassaniya | Morocco, Algeria, Tunisia, Libya |
| Nilotic | Cairene, Sa'idi, Alexandrian, Sudanese | Egypt, Sudan |
| Iraqi | Baghdadi, Moslawi, Basrawi | Iraq |
| Yemeni | Sana'ani, Hadrami, Adeni | Yemen |
Intra- and inter-sentential Arabic–English and Arabic–French mixing tagged for commercial hubs — a gap generic providers miss.
Clinical-grade Arabic audio and text datasets for healthcare AI — built with domain specialists and strict compliance frameworks.
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
These capabilities are framed as a future platform direction, not fully launched products.
MASNOOD helps define scope, quality, security, and the delivery model.