MASNOOD

About MASNOOD

Building the Arabic data layer for reliable AI systems.

Our Clients

Global technology leaders and healthcare institutions rely on our Arabic linguistic and data operations.

  • Amazon
  • Apple
  • Facebook
  • Google
  • Microsoft
  • Sheikh Khalifa Medical City
  • Adobe
  • Mayo Clinic

Proven at scale

Track record you can measure

Verified delivery metrics across enterprise Arabic data programs — not marketing claims.

4,000+

Finished audio hours delivered

High-fidelity, dialectal speech corpora

17M+

Words processed

Transcription, translation, and annotation

13,880+

Projects delivered

Multilingual and Arabic-focused programs

97.4%

Verified accuracy

Cross-validated QA benchmark on major deliveries

32

Arabic dialects

Natively annotated across MENA regions

100%

Native annotators

Vetted in-region linguistic specialists

Impact highlights

Programs that moved the needle

Anonymized delivery snapshots from enterprise Arabic data engagements — measurable outcomes without naming clients.

Sector: Global speech AI

Pan-regional voice corpus at production scale

A tier-1 technology program required dialectal speech data across Gulf, Levantine, and Egyptian variants for ASR model training — with dual-pass QA and encrypted delivery.

  • 4,000+ PFH delivered
  • 32 dialect groups
  • 97.4% verified accuracy

Sector: Healthcare & clinical AI

Clinical-grade Arabic transcription pipeline

A healthcare institution needed HIPAA-aligned Arabic clinical dictation datasets — bilingual medical terminology, PII redaction, and audit-ready documentation for procurement review.

  • 97.4% accuracy benchmark
  • HIPAA-aligned workflow
  • PII redaction + AWS S3

Sector: Enterprise NLP & annotation

High-volume text programs across MENA

Continuous ingestion of Arabic text for sentiment, speaker ID, and dialect tagging — native annotators, calibration batches, and weekly milestone reporting at enterprise volume.

  • 17M+ words processed
  • 13,880+ projects delivered
  • 100% native annotators

Sector: Sovereign & government AI

Secure Arabic data for national AI initiatives

Government-aligned programs demanded in-region collection, NDA-based contributor networks, SOC 2 / ISO alignment, and structured handoff with delivery certificates.

  • NDA-governed delivery
  • Dual-pass QA
  • Encrypted cloud handoff

Figures represent aggregate verified delivery metrics across MASNOOD programs. Client identities withheld by policy.

Company story

MASNOOD was created for organizations that need Arabic AI data they can trust: data that reflects real dialect diversity, is reviewed by people who understand the language, and is delivered through disciplined enterprise operations.

Vision

To become the trusted Arabic AI data partner for organizations building the next generation of intelligent systems.

Mission

To help organizations build better AI through high-quality Arabic data, human expertise, secure operations, and measurable quality.

Platform Vision

MASNOOD's platform vision includes Collect, Annotate, Evaluate, a managed Data Platform, a Contributor Network, and a future Dataset Marketplace.

Leadership team

The people accountable for scope, quality, security, and on-time delivery.

Abdulrahman Al-Akizi

Abdulrahman Al-Akizi

Executive Director & Founder

Leads MASNOOD's strategy, enterprise partnerships, and client engagements — aligning Arabic data programs with measurable quality, security, and delivery commitments.

Abdulaziz Al-Tamri

Abdulaziz Al-Tamri

Head of Delivery

Owns program execution from scope design through milestone reporting — project management, throughput, dual-pass QA, and secure handoff for enterprise programs.

Asim Ibrahim

Asim Ibrahim

Head of Linguistics

Directs dialect coverage, annotation guidelines, and linguistic QA — ensuring 32 Arabic variants are collected, tagged, and reviewed by native specialists.

Muath Al-Hulwani

Muath Al-Hulwani

Head of Technology

Leads data engineering, automation pipelines, and secure infrastructure — diarization tooling, encrypted storage, PII workflows, and delivery systems.

Full organization →

Values

Technical Integrity
Data Security
Linguistic Inclusion
Operational Transparency
Human Expertise