Expert-led Arabic LLM evaluation

Your model speaks Arabic. Nobody has graded it like a native expert would.

نقيّم أداء الذكاء الاصطناعي بالعربية كما يقيّمه أهل اللغة

ArabEval scores Arabic AI the way your users will judge it: native raters matched to each dialect, a healthcare specialist panel for clinical content, and a written rubric behind every score — delivered with a named expert's signature, not a platform ticket.

Book a 30-minute scoping call See the 7-day Sprint ↓
4 dialect families — MSA · Gulf · Egyptian · Levantine 100% double-reviewed batches Signed expert sign-off on every report NDA-first — your data never trains anything
What a dialect scorecard revealsIllustrative only — fictional values, out of 100
Modern Standard Arabicالعربية الفصحى المعاصرة
88
Gulf Arabicاللهجات الخليجية
74
Egyptian Arabicاللهجة المصرية
69
Levantine Arabicاللهجات الشامية
61
Clinical Arabicدقة المحتوى الطبي وسلامته بالعربية
57

Illustrative scorecard — fictional values for demonstration only; not derived from a client project or a validated benchmark. One blended “Arabic score” hides exactly the failures your users will find. We report per dialect, per failure type — with the rubric and inter-rater agreement attached.

The gap

The Arabic gap is measured, not imagined.

Frontier models are benchmarked in English and shipped in Arabic. Independent research keeps finding the same three cracks:

85–90%
Expert panels rating Arabic healthcare answers award only 85–90% — in a domain where the missing points can harm a patient. Published radiology research likewise concludes Arabic medical output from LLMs requires expert review, not autonomous use.
24.3 pts
Appen's multilingual evaluation research documents performance gaps of up to 24.3 points between high- and low-resource languages. Arabic dialects sit on the wrong side of that gap.
≠
Safety does not transfer. Independent multilingual safety research shows guardrails tuned in English degrade in Arabic and in Arabizi code-switching — exactly how real users type.
Services

Four ways we grade Arabic AI — all of them signed.

Arabic LLM Evaluation

Model outputs scored against a written rubric — accuracy, dialect & register fit, instruction following, safety — by native raters matched to the dialect being judged.

  • Dialect-by-dialect scorecards, never one blended number
  • Double review with adjudication, agreement statistics reported
  • Failure taxonomy ranked by user impact

Clinical Arabic Safety Review

Arabic medical and pharma content reviewed by a specialist panel from regulated healthcare — the review layer generic linguists cannot supply.

  • Harm-graded findings log, signed by the reviewing expert — P1: potential patient harm · P2: misleading content · P3: quality and wording
  • Terminology, dosage and claims discipline checked line by line
  • “Never automate” list for your highest-risk content

Arabic Red Team — Dialect & Arabizi Pack

Adversarial testing in the Arabic users actually type: dialect slang, Arabizi, code-switching, and culturally loaded prompts that English test suites never generate.

  • Jailbreaks, prompt injection and safeguard bypass attempts
  • Cultural & religious sensitivity cases, written in real dialect
  • Retest after your fix + a regression set you keep

Golden Set & Rubric Build

A private, held-out Arabic benchmark written natively — not translated from English — so your team can measure every future release against ground truth.

  • Native-authored items across your dialects and domains
  • Gold answers + the scoring rubric, versioned
  • LLM-judge calibration against human expert scores
Flagship
The ArabEval Sprint

The Dialect Reality Check. Seven days. Fixed fee. Signed verdict.

Send us 300–500 of your real Arabic prompts and outputs. In one week you know — per dialect, per failure type — whether your Arabic is ready for the users you're selling to.

  • Dialect-by-dialect scorecard — MSA, Gulf, Egyptian, Levantine scored separately
  • Top failure modes, ranked by user impact, with verbatim examples
  • The rubric + inter-rater agreement — the method travels with the scores
  • Signed go / no-go memo from the lead evaluator, not an anonymous dashboard
From $4,950
Fixed fee, locked before we start: 300–500 items, dialects and models agreed in writing. No sales cycle. No hourly meter. No surprises.
Turnaround7 calendar days from kickoff
Volume300–500 items
ReviewDouble-reviewed
ConfidentialityNDA-first
Start with a sample

Ongoing evaluation cover

A retained expert panel on your release cadence — every model update graded before it ships, with the same rubric and the same raters.

Registered specialist supplier

For vendors and labs: ArabEval onboards as a named specialist supplier — Arabic evaluation and clinical review as a defined service line, NDA-first.

Release Gate sign-off

Launching Arabic to patients or the public? An independent expert gate before you ship: harm-graded findings and a signed readiness verdict your board can act on. Ships in days, not quarters.

Method

How scoring works — sampling, calibration, review, adjudication.

01

Sample & scope

A 30-minute call around your real Arabic outputs — not a demo set. We agree dialects, domains and risk lines.

02

Rubric first

The written rubric is drafted and agreed before a single item is scored. No moving goalposts, no vibes.

03

Double review

Every batch is scored twice by dialect-matched raters. Disagreements are adjudicated, never averaged away.

04

Signed delivery

Scores, rubric, agreement statistics and the verdict memo — signed by the expert who stands behind them.

Why ArabEval

Giants sell you a crowd. We sign our names.

ArabEvalLarge data platforms
Who rates your ArabicNamed, dialect-matched experts — and the lead evaluator signs the reportVetted rater pools — skilled, but anonymous to you
Clinical contentA dedicated service line: specialist review from regulated healthcare, harm-graded P1–P3Handled inside general language operations
Dialect reportingA scorecard per dialect family — MSA, Gulf, Egyptian, LevantineMulti-language programmes, usually reported as one blended score per language
Price & speedA published fixed-fee Sprint, delivered in 7 daysCustom enterprise pricing, quoted after a sales process
Best fitFocused, high-stakes batches where every error is expensiveVery large programmes — millions of items, many languages
NeutralityNo model to sell — our only product is the verdictSeveral also sell models, data platforms, or staffing
Who is behind it
“Your reviewer has spent fifteen years sitting across from the clinicians your AI will talk to. That is the difference between a label and a judgement.”

Ahmed Aly — Founder & Lead Evaluator

Fifteen years in regulated healthcare and pharma — hospital specialist and senior medical delegate roles, leading portfolios that clinicians across the region rely on daily. Native Arabic across MSA and the Gulf, Egyptian and Levantine dialect families.

ArabEval exists because Arabic AI is being graded by people who would never catch the errors that matter — a wrong dialect register in a patient message, a dosage phrased one shade too casually, a safeguard that evaporates in Arabizi. We catch them, grade them, and sign for it.

Our own proof asset: 50 Arabic medical Q&A items, built against our written rubric to expose exactly the failures a blended score hides. We walk it through — methodology first — on every scoping call. Bring your hardest sample; we will grade it the same way, live.

FAQ

Straight answers.

How is our data handled?

NDA first, before any sample changes hands. Your prompts and outputs are seen only by the reviewers assigned to your project and are used only to evaluate them — never to train anything, never shared. Materials are retained only for the engagement and deleted on request, with deletion confirmed to you in writing. Your product's name is never used in our materials.

Which Arabic do you cover?

Initial evaluation coverage: Modern Standard Arabic, Gulf Arabic, Egyptian Arabic and Levantine Arabic — plus Arabizi and code-switched text in red-teaming. Other varieties are assessed for reviewer availability and suitability before a project is accepted; we never score a dialect we cannot staff natively.

How fast is “fast”?

The Sprint is seven days from kickoff at a fixed fee, published above. Retainer and supplier work runs on your release cadence, agreed in the scoping call — turnaround is a commitment we sign, not an estimate.

Do you sell datasets or annotation by the hour?

No. Commodity annotation is a race we refuse to enter. We sell expert judgement: evaluation, clinical review, red-teaming, and golden sets built to order — scored by named experts and signed.

Can you work inside our vendor process?

Yes — ArabEval onboards as a specialist supplier for labs and language vendors, and as a subcontractor where a programme needs Arabic depth it cannot staff. One conversation starts it.

Start

Bring a sample. Leave with a verdict.

The usual start is a 30-minute scoping call: bring a sample of the Arabic output you need judged, and we return the rubric draft and a priced batch proposal.

Prefer email? hello@arabeval.com