AxioMyth is an AI-assisted, no-code test automation platform that verifies entire cross-system workflows on one visual canvas.
Most testing tools stop at the browser. They confirm the screen showed a success message but cannot verify whether the database was updated, the email was dispatched, the file reached storage, or the API returned the correct state. Teams ship with green dashboards and broken backends.
AxioMyth treats every test case as a workflow. Browser steps, API calls, database queries, and third-party connector actions all live on the same canvas. They branch, loop, and run in parallel. The test fails where the system fails, not just where the screen looks wrong.
Tests are built visually by dragging actions onto a workflow canvas with branching and parallel execution paths. A desktop app records live browser sessions and converts them into reusable page objects automatically. From there, verification steps go beyond the UI: on the same canvas, tests query databases, call APIs, check file storage, verify emails, and validate third-party system state.
The execution engine runs on Playwright with live per-step status, video, and screenshots. When a test fails, the AI Helper diagnoses the failure and proposes a fix as a reviewable patch. It never modifies tests autonomously. Every suggestion requires human approval, and every proposal is logged in a full audit trail.
Every customer gets a dedicated database. Connector credentials are encrypted so that not even AxioMyth can read them. Role-based access control is enforced server-side.
AxioMyth is built for QA engineers, SDETs, manual testers moving into automation, and engineering managers who need confidence that a green test suite means a working system.
