Insights

Hebrew AI quality research and practical guidance

Technical and commercial guidance on Hebrew datasets, model evaluation, OCR, ASR, annotation, redaction, and production quality.

QA

Hebrew AI Evaluation Checklist for Production Systems

A practical framework for language quality, factuality, instruction compliance, safety, formatting, and regression testing.

Read the article →
IDX

Hebrew AI Production Quality Index

A transparent framework under development for evaluating production quality across Hebrew AI workflows.

Review the framework →
SMP

Public sample deliverables

Inspect synthetic examples of annotation, QA, redaction, evaluation, OCR, and acceptance evidence.

View samples →