English-first evaluation tools can’t judge Azerbaijani tone and accuracy natively. Argus AI uses an Azerbaijani-native LLM judge that scores accuracy, tone, formality, compliance and safety.
You can’t assure an Azerbaijani assistant with an English-first judge that misses formality and local nuance. Argus AI scores every conversation with an Azerbaijani-native LLM judge, evaluating accuracy, tone, formality, compliance and safety the way a native reviewer would.
An Azerbaijani-native LLM judge scores every conversation.
Evaluates accuracy, tone, formality, compliance and safety.
Judges Azerbaijani natively, not through an English-first lens.
Catches broken sən/siz formality and mistranslated terms.
Ingests your knowledge base and policies to derive expected answers.
English-first tools can’t judge Azerbaijani tone, formality and accuracy natively. Argus AI uses an Azerbaijani-native judge.
Accuracy, tone, formality, compliance and safety.
It ingests your knowledge base and policies to derive the expected answers.
Generates thousands of realistic Azerbaijani synthetic users to test your chatbot at scale.
Simulates frustration, contradiction, prompt-injection and AZ↔RU code-switching.
Gives each release a readiness score, so you can gate launches with confidence.
Rerun the same suite on new versions and confirm past issues stay fixed.
See the complete product: problem, features, how it works and deployment.
Request a demo to see Argus AI stress-test your assistant with synthetic Azerbaijani users, then score every conversation.