A full-service AI data company.
AI LAB MENA delivers every stage of the AI data lifecycle — collection, annotation, generative AI and LLM data, licensed datasets, and model evaluation — across speech, text, image, video, and sensor modalities, in Arabic and 100+ languages and dialects worldwide. Built by native-speaking teams, delivered to enterprise standards.
Make every AI system truly understand people.
Most of the world's languages are under-served by AI. Datasets are too small, too narrow, or too disconnected from the way people actually speak — and Arabic, one of the world's most spoken languages, is among the hardest hit.
We exist to change that. AI LAB MENA combines deep linguistic expertise with industrialized data production: studios, speaker networks, annotation guidelines, and QA workflows engineered for the models you actually ship — in Arabic and 100+ languages and dialects.
One partner covers the whole pipeline — from recruiting native talent and capturing raw data, through linguist-grade annotation and LLM preference data, to independent evaluation of what your model actually does in every language you serve.
Eng. Mostafa Ghanem
Founder, AI LAB MENA
Founded by Eng. Mostafa Ghanem.
"Arabic speakers deserve AI that understands them the way they actually speak — not a translation of someone else's language. That is the standard we build to."
AI LAB MENA was founded by Eng. Mostafa Ghanem, an engineer who built the company around a single idea: Arabic AI needs regional data, regional expertise, and regional quality control — not an outsourced afterthought.
Under his direction, the company grew from an Arabic speech specialist into a full-spectrum AI data partner: serving teams working on speech and voice, computer vision, NLP and LLMs, healthcare, automotive, and defense programs across MENA and beyond.
Every service the AI data lifecycle needs
Six practices, one accountable partner — from raw collection through licensed datasets to human-in-the-loop evaluation.
AI Data Collection
Custom multimodal data captured across MENA and beyond.
- Speech & audio collection (scripted, spontaneous, call-center)
- Wake word & voice command data
- Text & conversational data
- Utterance & chatbot training data
- Image & video collection
- Facial & biometric data collection
- Document & OCR data collection
- Physical AI, robotics & sensor data
- Egocentric (first-person) video data
- Medical & clinical data sourcing
Data Annotation & Labeling
Precise human labeling by trained linguists and annotators.
- Audio transcription, timestamping & diarization
- Speech & sound event labeling
- Image annotation: boxes, polygons, segmentation, keypoints
- Video annotation & object tracking
- LiDAR & 3D point cloud annotation
- NLP: NER, intent, sentiment, classification
- Medical annotation (DICOM, clinical notes, coding)
- Facial recognition & anti-spoofing labeling
- Document AI & OCR labeling
Generative AI & LLMs
Expert data to train, align, and evaluate large language models.
- RLHF & preference ranking
- Supervised fine-tuning (SFT) data
- Chain-of-thought & reasoning data
- RAG data preparation
- Prompt & response generation
- Red teaming & safety evaluation
- Hallucination & bias detection
- Multimodal AI training data
- AI agent & tool-use evaluation
Off-the-Shelf Datasets
Licensed, ready-to-train datasets for faster model development.
- Arabic & multilingual speech catalogs
- Call-center & conversational speech
- Text, Q&A & NLP datasets
- Computer vision & biometric datasets
- Medical & clinical datasets
- Physical AI & sensor datasets
Model Evaluation & QA
Human-in-the-loop validation for production-grade accuracy.
- Model benchmarking
- ASR / TTS evaluation
- LLM output review & scoring
- Search relevance evaluation
- Data de-identification (PHI / PII)
- Multi-pass quality assurance
Industry Solutions
Domain-specific data programs for regulated and high-impact sectors.
- Conversational AI
- Computer vision
- Healthcare AI
- Banking & finance
- Technology & eCommerce
- Automotive & autonomy
- Government & defense
- Media & entertainment
Four pillars of enterprise quality
Professional Recording Facilities
Sound-treated, calibrated studios for ASR, TTS, and voice cloning grade audio.
Native Arabic Speakers
A 500+ vetted speaker pool across MENA — actors, professionals, and everyday voices.
Quality Assurance Workflows
Calibration sets, two-pass review, and IAA tracking baked into every project.
Enterprise Delivery Processes
PMs, SLAs, secure handover, and signed consent — built for legal, security, and audit teams.
From brief to delivery in six clear steps
Every project follows the same battle-tested pipeline — instrumented for quality, security, and speed.
Brief
Scope data types, dialects, volumes, and metadata against your training schema.
Recruit
Source and vet native talent and domain experts matched to your spec.
Collect
Capture speech, text, image, video, and sensor data in studio or in-field.
Annotate
Transcribe, label, diacritize, and align by trained Arabic linguists.
QA
Independent review and calibration against acceptance criteria.
Deliver
Secure, schema-conformant delivery with full provenance and consent.
Native-first
Built in-region by people who live the language.
Audit-ready
Consent, provenance, and quality you can defend.
Ship-focused
We move at the speed of your training cycles.
Let's build the next generation of Arabic AI together.
Tell us about your project — speech, text, image, video, or LLM data. We'll scope volumes, languages, and delivery — usually within one business day.