G1
Arabic Dialect Evaluation Datasets
Public Arabic benchmarks are saturated or contaminated. Private, native-authored evals are how you actually measure.
For AI labs
Arabic performance is now a product requirement, not a localization afterthought.
We help labs expand evaluation depth, data coverage, and execution capacity across Arabic and MENA contexts without slowing release velocity.
How engagement works
- 01 NDA and scope alignment
- 02 Sample package and evaluation criteria
- 03 Delivery plan with milestones
- 04 Scale contract with SLA-backed capacity
Why a MENA-native supplier
MENA usage patterns, dialect diversity, and domain context create edge cases global pipelines often miss. We build for those realities by default.
G-series catalog
G2
Arabic RLHF and Preference Data
Bilingual domain experts at RLHF quality are the scarcest resource in Arabic AI. We have the bench.
G3
Arabic RL Environments
The industry is spending billions on RL environments. None exist in Arabic. First-mover territory.
G4
Arabic Red-Team and Safety Prompt Sets
Your safety team tests in English. Arabic-specific attacks pass straight through.
G5
Managed Arabic Review Teams
You won the client project. Now you need 15 vetted Gulf Arabic finance reviewers by next month.
G6
Licensed Arabic Speech and Text Datasets
The dataset you need — Gulf telephonic finance conversations with clean consent — mostly doesn't exist for sale.
Next step
Request samples
Send the spec — dataset, capacity, environment, or evaluation. NDA and samples first.