Arabic AI shouldn't sound translated.
Bayanat Labs exists for one reason: the models serving 400 million Arabic speakers are starved of the data that would make them fluent, accurate and trustworthy. We build that data — and only that data — better than anyone in the region.
Data is the bottleneck. We're the fix.
The hardest problem in Arabic AI isn't compute or model architecture — it's data. The informal, dialectal, domain-specific language that real people actually use barely exists in digitized, labeled form. So models trained on it sound stiff, get the register wrong, and miss the cultural context entirely.
We could have built a do-everything AI shop. We chose not to. We do one thing — the human data engine — and we go all the way down on it: native speakers across 25+ dialects, licensed domain experts, and a quality process engineered rather than crowdsourced. Whatever model you're building, on whatever stack, we make its data better.
Focus beats breadth
We do data, not everything. That focus is why our data is better.
Native, not approximate
Dialect and culture are judged by people who live them, not by proxies.
Model-agnostic
We never compete with our clients' models. Your stack, your IP, always.
Sovereign by default
In-region hosting by default, least-privilege access and an audit log on every task.
The people behind the data.
Not an anonymous crowd. A vetted network of native speakers, linguists and licensed professionals — matched to your task by dialect and domain, calibrated against gold standards, and accountable for every label.
network
Field notes on Arabic AI.
Tell us the task in two minutes.
Fill in what you know; leave the rest blank. Submitting opens an email to hello@bayanatlabs.com with your answers, so nothing is stored on this site. We reply with a fixed-scope pilot proposal.
See how a pilot works and how we handle your data.
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