Capabilities
Model Validation
Test, improve, and optimize AI.
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Aggregate accuracy hides where Arabic models actually fail: specific dialects, code-switching, named entities, or acoustic conditions. Independent validation finds the gaps before your users do.
We design evaluation sets and run human assessment programs that tell you exactly where your model stands — in every dialect that matters.
What we deliver
- Dialect-stratified evaluation sets
- ASR WER benchmarking by condition
- TTS naturalness & intelligibility studies
- LLM output evaluation by native raters
- Error taxonomy & failure analysis reports
How we work
Evaluation runs blind against your models with native-speaking raters, delivering per-dialect breakdowns and actionable error taxonomies — not just a single score.
Ready when you are
Let's build the next generation of Arabic AI together.
Tell us about your project — speech, text, image, video, or LLM data. We'll scope volumes, languages, and delivery — usually within one business day.