BotGauge
Freemium
Startups and fast-moving engineering teams
Release day arrives and nobody can prove what was actually tested — the results are scattered across Jira comments, a spreadsheet, and someone's memory. AxonQA is built to close that gap, connecting test generation, execution, and the release decision into one auditable thread.
The core loop: bring in a Jira ticket or let the AI explore your app, review the tests it drafts, run browser and API checks against cloud minutes, then get a release readiness report that names what passed, what blocked, and which failures someone consciously accepted with a reason and an owner attached. That last part — the accepted-risk record — is what separates it from a test runner. The AI handles generation and failure investigation; your team owns the go/no-go call. The page-limit ceiling on app exploration means large apps will hit a wall before full coverage is mapped. Teams shipping against EU compliance requirements get data hosting options the vendor explicitly lists as a feature.
Bottom line: Pick AxonQA when your QA bottleneck is evidence collection and release sign-off accountability — but plan for a manual gap-filling process once your app exceeds the page exploration limits the free tier and lower paid tiers impose.
For an engineer or a pair
For a team shipping together
For larger organisations from £999/month
View full pricing on axonqa.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Test Generation. Compare pricing, platforms, and features side by side.
Freemium
Startups and fast-moving engineering teams
Paid
Teams shipping weekly or daily releases
Release day arrives and nobody can prove what was actually tested — the results are scattered across Jira comments, a spreadsheet, and someone’s memory. AxonQA connects test generation, execution, and the release decision into one auditable thread.
Bring in a Jira ticket or let the AI explore your app. Review the tests it drafts, run browser and API checks against cloud minutes, then receive a release readiness report that names what passed, what blocked, and which failures someone consciously accepted with a reason and an owner attached. The AI handles generation and failure investigation; the team owns the go or no-go call.
AI-drafted tests rest on actual app exploration screenshots and captured controls rather than drifted specs. Reports link every exception to a named owner and recorded reason. Manual, browser, and API checks sit inside the same project with results tied to the requirements they verify. EU data hosting is available. Exploration stops at page limits set by the plan tier, after which remaining coverage falls back to manual discovery. No API exists for external tooling integrations.
QA engineers and teams shipping software gain the most when they want AI-assisted test generation, cloud test runs, and auditable release reports. Skip it for large or deep applications that exceed page limits or when custom CI pipeline triggers and result pulls are required.
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