Argus AI 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 AI 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.
The QA, AI and pentest engines run on the same runtime and share a browser layer, a model router, an encrypted credential store and a single cost ledger — so models, credentials and deployment are configured once for all three, and whatever any of them finds lands in the same evidence trail.
Drives your business workflows through the real interface and reports what broke, with a screenshot and a stated reason behind every step.
Runs thousands of synthetic users against your assistant and scores every conversation with an Azerbaijani-native judge.
Scans your approved targets as a logged-in user, so the check reaches past the login wall, and reports findings by severity.
Allmaz is the AI product studio of Smart Solutions, which built and operates Azerbaijan's unified public procurement portal — established by presidential decree and delivered as one of the country's first public-private partnerships in digital government.
Request a demo to see Argus AI stress-test your assistant with synthetic Azerbaijani users.