MENA AI Data Services
Native Arabic annotation, regional cultural expertise, and GCC-based operations — purpose-built for Middle Eastern AI programs and Arabic-first language models.
AI Data Built for the Middle East
The MENA region is investing billions in AI — from Saudi Arabia's Vision 2030 to UAE's National AI Strategy. Centric Labs operates directly in Dubai with native Arabic-speaking annotation teams who understand the linguistic complexity, cultural nuances, and regional specifics that global AI models routinely miss. We support Modern Standard Arabic, Gulf dialect, Levantine, Egyptian, and Maghrebi variations.
- Native Arabic annotators across all major dialects
- Dubai-based operations with GCC data residency
- RTL text handling and Arabic OCR training data
- Cultural sensitivity review for content moderation AI
- Support for Urdu, Farsi, Turkish, and Hebrew
MENA-Focused AI Data
From Arabic NLP to regional computer vision — data services designed for the Middle East.
Arabic NLP
Named entity recognition, sentiment analysis, and text classification across Arabic dialects. We handle the morphological complexity of Arabic — root extraction, diacritization, and code-switching between Arabic and English that's common in Gulf communications.
Arabic Speech Data
Transcription, speaker diarization, and intent labeling for Arabic ASR and voice assistants. Our annotators capture dialectal variations, accent differences, and the Arabic-English mixing prevalent in GCC business contexts.
Cultural Annotation
Content moderation, cultural appropriateness review, and local context tagging for AI models deployed in MENA markets. Our teams ensure AI systems respect religious sensitivities, social norms, and regional customs.
Arabic Document AI
OCR training data, document layout analysis, and key-value extraction for Arabic documents. We handle right-to-left layouts, mixed-script documents, and the unique formatting conventions used in Arabic official documents and contracts.
Regional Imagery
Street-level, aerial, and satellite imagery annotation reflecting MENA geography — desert environments, Gulf architecture, Arabic signage, and regional vehicle types. Critical for autonomous driving and smart city AI deployed in the region.
Arabic LLM Data
High-quality instruction-following, RLHF, and preference data in Arabic for fine-tuning large language models. We create conversational datasets that capture Arabic communication styles, formality levels, and domain-specific terminology.
Build AI That Speaks Arabic Natively
From Arabic NLP to regional computer vision — partner with the data team that operates in the heart of the MENA AI ecosystem.