Our Services
Expert data annotation across Arabic dialects, English, and more. From RLHF to dataset creation — we deliver the data your models need.
What we offer
High-quality human preference data to align language models with human values and expectations across Arabic dialects and other languages.
Instruction-response pairs crafted by native speakers to fine-tune models for natural, culturally appropriate output in Arabic and beyond.
Adversarial testing by Arabic-native specialists to uncover model vulnerabilities and improve safety guardrails.
Native-speaker annotation across all major Arabic dialects with deep cultural and linguistic context.
Cross-lingual annotation and alignment for Arabic-English and multilingual AI systems.
Subject-matter experts providing annotation for high-stakes, specialized domains in Arabic.
Gold-standard evaluation sets and agreement metrics to measure and improve model performance.
End-to-end custom dataset building with schema design, collection, and full data provenance.
Structured human evaluation of model outputs using rubric-based scoring and quality assessment.
Why Bayan
Every annotator is a native speaker of their assigned dialect. No machine-translated labels, no outsourced guesswork.
Layered review, inter-annotator agreement scoring, and drift detection ensure consistently high-quality output.
Real-time client dashboard, detailed quality reports, and full data provenance from collection to delivery.
From pilot batches to millions of annotations. We scale with your roadmap and adapt to changing requirements.