Arabic AI data and evaluation, verified dialect by dialect. We don't build models, so we never compete with yours: dialect-aware Arabic data labeling, RLHF and independent LLM and agent evaluation, produced by vetted native experts across the Middle East.
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.
The dialectal, domain-specific data that doesn't exist yet — field collection, licensed corpora, and controlled synthetic generation.
Native speakers label text, audio, image and video across 25+ Arabic varieties — to gold-standard rubrics, not guesswork.
Human feedback, preference ranking and rewriting that teach a model what a good, natural, culturally-right Arabic answer sounds like.
Independent benchmarks for dialect comprehension, cultural fit, factuality and safety — so you know what's good before you ship.
We work with native linguists and domain experts across the region — capturing the richness, nuance and diversity of spoken Arabic, dialect by dialect.
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” 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.
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.
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.
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.
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.
Document understanding, KYC, and dialectal customer-support data for compliant Arabic models.
Clinical transcription and medical Arabic, produced and judged by licensed physicians.
Sovereign, in-region data for public-sector AI — citizen services, records and policy.