Teams launch assistants with no reliable pre-launch signal. Argus AI ingests your knowledge base and policies, scores conversations, and gives each release a readiness score you can gate on.
Shipping an assistant without a quality signal is a blind release. Argus AI turns testing into a decision: by scoring conversations against expected answers derived from your knowledge base, it gives each release a readiness score — and vertical templates mean you get one from day one, without hand-authoring test cases.
Gives each release a readiness score.
Derives expected answers from your knowledge base and policies.
Vertical templates (banking first) give a score from day one.
Compare versions and gate releases on the score.
Backed by an exportable, versioned assurance record.
A rolled-up score for a release, derived from scoring conversations against expected answers from your knowledge base — a signal you can gate launches on.
No. Vertical templates (banking first) give a readiness score from day one without authoring test cases.
Yes. Argus AI scores each release so you can compare versions and gate launches.
Generates thousands of realistic Azerbaijani synthetic users to test your chatbot at scale.
Simulates frustration, contradiction, prompt-injection and AZ↔RU code-switching.
An AZ-native LLM judge scores accuracy, tone, formality, compliance and safety.
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.