Our Services
Building Arabic AI is not just translation. It is local grounding, dialect nuance, and cultural alignment, at every stage of the AI lifecycle.
Alignment Data
Supervised fine-tuning and preference data crafted by native speakers across dialects, domains and modalities.
Expert Evaluation
Standardized and custom evaluations to test what matters in Arabic.
Red-teaming
Adversarial testing and edge-case probing by expert Arabic speakers.
Alignment Data
High-quality multimodal & diverse data that cannot be found online or synthetically generated.
High Quality
Curated to meet the highest standards, delivering reliable and accurate results for Arabic AI models.
Diverse
Covers a wide range of capabilities and domains to support robust model behavior.
Dialectal
Reflects the richness of regional dialects with nuanced data grounded in linguistic diversity.
Multimodal
Combines text, speech, and visual elements for optimal performance across modalities.
We Emphasize Data Quality
1
Expert Peer Review
Each sample is reviewed by experts in the sample's language/dialect, domain, and capability.
2
Intrinsic Metrics
Each sample is analyzed for structural and semantic richness; from linguistic diversity to temporal patterns and model-informed complexity.
3
Extrinsic Metrics
Our experts evaluate models trained on our data to measure impact on downstream tasks.
Evaluation & Red Teaming
Expert-led evaluation and adversarial testing to assess real-world performance, safety, and cultural alignment.
Task-Aware
Benchmarks tailored to specific capabilities, domains, and dialects to ensure relevance and contextual accuracy.
Bias & Robustness
Identification of representational gaps, social biases, and brittle behaviors across diverse Arabic contexts.
Human-Centric
Native speakers and domain experts provide nuanced assessments grounded in linguistic and cultural understanding.
Adversarial Stress-Testing
Simulation of jailbreaks, edge cases, and policy-violating prompts to uncover safety and alignment failures pre-deployment.