Arabic data,
done right.
Bayanat Labs licenses Arabic datasets, including 30,000 hours of speech, and runs independent AI evaluation with a team of 50,000+ expert annotators, the largest in the Middle East, across 25+ dialects.
One engine. The full data lifecycle.
Everything your model needs from its data — and nothing it doesn't. We go all the way down on data, so you never hand the hardest part to a do-everything shop.
Source
The dialectal, domain-specific data that doesn't exist yet — field collection, licensed corpora, and controlled synthetic generation.
Annotate
Native speakers label text, audio, image and video across 25+ Arabic varieties — to gold-standard rubrics, not guesswork.
Align
Human feedback, preference ranking and rewriting that teach a model what a good, natural, culturally-right Arabic answer sounds like.
Evaluate
Independent benchmarks for dialect comprehension, cultural fit, factuality and safety — so you know what's good before you ship.
Arabic data services, in depth.
Arabic data annotation & labeling
NER and spans, intent, sentiment and segmentation, labeled to gold-standard rubrics.Arabic speech data & transcription
Dialectal audio collection, transcription, timestamping and speaker diarization.Arabic RLHF & human feedback
Preference ranking, rewriting and reward-model data from native Arabic raters.Arabic LLM evaluation
Benchmarks for dialect comprehension, cultural fit, factuality and safety.Arabic AI red teaming
Adversarial Arabic and dialect prompts that probe where a model's unsafe edges are.Arabic OCR & document annotation
Arabic-script OCR, bounding boxes and document-understanding labels.Arabic dialect data collection
Gulf, Levantine, Egyptian, Iraqi and Maghrebi data from native speakers.Arabic LLM training data & SFT
Supervised fine-tuning pairs written and rewritten by native experts.Data annotation in Saudi Arabia
Riyadh-based, with in-region hosting by default and on-prem and private-cloud options.Native expertise.
Regional understanding.
We work with native linguists and domain experts across the region — capturing the richness, nuance and diversity of spoken Arabic, dialect by dialect.
varieties
We do one thing.
The hardest thing.
Frontier-quality Arabic data isn't a feature you bolt onto a platform — it's a craft. We're not a generalist crowd, and we're not a do-everything AI shop trying to sell you a model. We're a focused human-data engine, and that focus is the entire advantage.
Arabic AI data and evaluation,
verified dialect by dialect.
“Arabic” is not one test set. A model that looks fine on an average score can fold Gulf, Levantine, Iraqi and Maghrebi Arabic into one variety. We measure what matters for your users, and we have no model of our own to promote.
No model in the race
We do data only: sourcing, annotation, human feedback and evaluation. We're model-agnostic, and we never compete with the models we help you build or choose.
Verified dialect by dialect
Contributors pass dialect and domain screening before they touch your data. Work is calibrated against gold standards, adjudicated and audited, the same discipline behind our per-dialect research.
Proof in public
LabelBench shows a model at 78% on binary Arabic toxicity falling to 22.4% on five dialect regions, where chance is 20%. Our methods and results are published for you to check.
network
The people behind the data.
Not an anonymous crowd. We draw on a team of 50,000+ expert annotators, the largest in the Middle East, including vetted native speakers, linguists and licensed domain professionals, screened on dialect and domain, calibrated against gold standards, and accountable for every label.
Built for the work that can't be wrong.
Finance & Banking
Document understanding, KYC, and dialectal customer-support data for compliant Arabic models.
Healthcare
Clinical transcription and medical Arabic, produced and judged by licensed physicians.
Government
Sovereign data for public-sector AI, with in-region hosting by default: citizen services, records and policy.
Field notes on Arabic AI.
Also in the hub: Arabic LLM benchmarks explained, a catalogue of the public tests Arabic models are judged on, and our guide to Arabic data annotation cost, on how the work is billed and how to build a budget.
Bayanat Labs
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