About QAM Hub
QAM Hub is a multi-tenant SaaS test management system (TMS) for manual and automated testing. It gives QA teams a single workspace for test cases, test runs, requirements traceability, checklists, and reporting — across both manual work and automated frameworks like Playwright and Cypress.
Built by QA Madness
QAM Hub is developed by QA Madness, a software testing and QA services company with over a decade of QA expertise. The product is built on the principle of "by QA, for QA" — designed by engineers who run testing day to day, not as a generic project-tracking tool adapted for QA.
What QAM Hub does
- Test case management — hierarchical suites and groups, structured steps, custom fields, tags, templates, and full version history with rollback.
- Test runs and execution — pass / fail / blocked / skip statuses, per-tester assignment, and a complete execution history.
- Checklists — flexible, column-based checklist suites for lighter or exploratory testing.
- Requirements traceability — link requirements (manual, Jira, or GitHub) to test cases and surface coverage gaps.
- Automation integration — ingest Playwright and Cypress results and link them back to manual cases.
- AI assistance — generate test cases and checklists, analyze failures, and detect duplicate or low-quality cases, with a human reviewing every result.
- Agent flows — autonomous AI-driven regression and retest runs executed by registered runners.
- MCP server — a Model Context Protocol server that lets Claude and other AI agents manage test artifacts programmatically.
- Integrations — two-way Jira and GitHub sync, Google SSO, and a customizable reporting dashboard.
Who QAM Hub is for
QAM Hub is designed for QA engineers, QA leads, and testing teams that have outgrown spreadsheets and need traceability, history, and reporting in one place — whether they run purely manual testing, full automation, or a mix of both.
Our approach to AI in QA
QAM Hub treats AI as human-in-the-loop: the system proposes test cases, bug reports, and quality flags, and a QA engineer makes the final decision. This reflects how QA Madness approaches AI-assisted testing in client engagements — combining automation speed with human judgment.
QA Madness · Software Testing & QA Services