Data services for Arabic AI.
We label the data, build the datasets, and run the evaluations that teach frontier models every Arabic dialect and domain.
Frontier models hit a wall when they reach Arabic.
Today's models can generate Arabic text. But they struggle with real work. Legal analysis in Gulf dialect, medical conversations in Levantine, financial reports that mix MSA with local terminology. That knowledge doesn't live on the open web.
The most valuable Arabic data isn't written down. It lives inside native speakers who understand the linguistic complexity, cultural nuances, and dialectal variations that generic labeling platforms consistently get wrong.
We turn native Arabic expertise into training data.
Nahw is an applied data lab curating data solutions for frontier Arabic AI development. Our native workforce, combined with advanced quality control, delivers the precise annotations and datasets your models need to excel.
Models trained on outputs plateau. Models trained on native expertise improve.
Data Labeling
High-quality annotations across text, audio, and dialogue. Prompt-response pairs, chain-of-thought traces, and sentiment labels from native Arabic speakers.
Custom Datasets
Bespoke datasets built from scratch by domain experts. Curated for your specific use case, dialect requirements, and model architecture.
Model Evaluation
Arabic-specific evaluation suites and grading rubrics designed by linguists. Measure real-world performance across dialects, domains, and task types.
Dialect & Domain Coverage
Full coverage across MSA and regional dialects. Gulf, Levantine, Egyptian, Maghrebi. Spanning legal, medical, financial, and conversational domains.
Blog
Our approach starts with research: where exactly do models break down in real Arabic contexts? We publish our findings and build our data products on top of what we learn.
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nahw.ai
Enterprise-grade Arabic data labeling services powered by native speakers and advanced quality control systems.
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