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Benchmarks

Independent model and system evaluations. Reproducible methodology. Raw data available for download.

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BenchmarkArabic NLP2025

PAACE: A Benchmark for Arabic Conversational AI Evaluation

A comprehensive benchmark for evaluating Arabic conversational AI systems across 12 dimensions including accuracy, cultural alignment, dialect coverage, and safety. Covers MSA and 5+ Arabic dialects.

BenchmarkASR2025

Arabic ASR Benchmark: Evaluating 15 Models Across 5 Dialects

Independent evaluation of 15 Arabic automatic speech recognition models across Gulf, Levantine, Egyptian, Moroccan, and MSA dialects. SauTech achieved >65% error rate reduction against baseline.

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