Argus runs thousands of realistic synthetic users — in Azerbaijani, including mixed-language and adversarial conversations — against your chatbot, then scores every conversation and gives each release a readiness score.
Assistant answers vary by phrasing, history, mood and language — fixed test cases don't cut it.
Models hallucinate, break sən/siz formality and mistranslate financial and legal terms in Azerbaijani.
Teams have no reliable way to measure quality before launch or catch regressions after a change.
English-first evaluation tools can't judge Azerbaijani tone and accuracy natively.
Generates realistic AZ-language users varying by role, goal, expertise, tone and language.
Simulates frustration, contradiction, prompt-injection and manipulation, plus AZ↔RU code-switching.
An Azerbaijani-native LLM judge scores accuracy, tone, formality, compliance and safety.
Ingests your knowledge base and policies to derive expected answers and score readiness on day one.
Rerun the same suite on new versions and confirm past issues stay fixed.
Connect an assistant via REST, Dify, Kommunicate or browser automation.
Run tests at scale and triage failures instead of hand-writing thousands of cases.
Evidence that the assistant is safe and compliant before it faces customers.
Gate releases and compare versions with a clear readiness score.
Judges tone, formality and accuracy in Azerbaijani — not through an English-first lens.
Vertical templates (banking first) mean a readiness score without authoring test cases.
A versioned assurance record documents testing before deployment.
An Allmaz product aimed at banks, insurers and telecoms in Azerbaijan.
In Greek myth, Argus Panoptes was the giant with a hundred eyes who never slept — the perfect all-seeing watchman. The name fits a platform that watches your AI assistant through thousands of eyes at once, catching the failures a human spot-check would miss.
Argus rebuilds the same suite on every release so you can compare versions, confirm fixes and export a versioned assurance record as evidence of testing before deployment.
Request a demo to see Argus stress-test your assistant with synthetic Azerbaijani users.