QA Madness launches QAM Hub test management platform

12 hours ago
By AI, Created 08:50 UTC, Oct 21, 2026, AGP -

QA Madness has launched QAM Hub, a test management system built for teams that combine manual and automated testing. The Warsaw-based company says the new platform centralizes test cases, automation results and AI tools in one workspace, with a free trial now available.

Why it matters: - QA teams often keep test cases, automation output and release notes in separate tools, which makes it harder to know what has actually been tested. - QAM Hub is designed to put those pieces in one workspace and show release readiness on a single dashboard. - The launch gives QA teams a new self-service option built around both manual testing and automation.

What happened: - QA Madness introduced QAM Hub, its own test management system, on October 21, 2026. - The product is available at More information and includes a free trial with no credit card required. - QA Madness said the platform was built by a team with more than 13 years of hands-on QA experience. - The company described QAM Hub as a system for teams that combine manual and automated testing.

The details: - QAM Hub includes hierarchical test suites, templates, custom fields, tags and full version history with rollback. - Test runs support Pass, Fail, Blocked and Skip statuses, plus screenshots, comments and assignment by tester. - The platform includes checklists for quick checks that do not need a full test case. - Automation support includes official npm reporters for Playwright and Cypress. - WebdriverIO, Selenium and any framework that writes JUnit XML can connect through a CLI. - Automated results appear next to manual results, case by case. - Built-in AI can generate test cases and checklists. - The Quality Analyzer flags duplicates and vague cases. - Autonomous regression runs are in beta. - An engineer makes the final decision on AI-generated output. - The platform includes an MCP server so AI agents can work with test artifacts directly. - Requirements traceability links requirements to cases and milestones. - Reporting includes Release Readiness and more than 10 report types with PDF export. - Integrations include Jira, Azure DevOps, GitHub Issues, GitLab, Asana, Linear, Redmine and Trello. - Migration tools import from TestRail and Qase, including test cases, runs with results, attachments and team data. - CSV import is available for spreadsheet data. - Security features include Google SSO, two-factor authentication, optional organization-wide 2FA enforcement, two-level role-based access, organization audit logs, and encryption in transit and at rest. - Sensitive credentials are additionally sealed with AES-256-GCM. - Data is hosted in Western Europe and handled in line with GDPR. - QAM Hub is a self-service SaaS product with three per-seat plans: Start, Standard and Advanced. - The plans can be billed monthly or annually. - Core AI features are included in every plan. - The 30-day free trial includes all Advanced features. - Demos can be booked on the contact page.

Between the lines: - QA Madness is using its own client-side pain points as the product pitch, especially the problem of fragmented test data across spreadsheets, CI logs and release reviews. - The company is positioning AI as an assistant rather than an autopilot, with humans keeping final approval. - The product also looks aimed at teams that want to connect manual QA, automation and release reporting without stitching together multiple tools.

What's next: - Prospective customers can start a 30-day trial without a credit card. - Teams that want a walkthrough can book a demo through the contact page. - QA Madness is continuing to expand the product with AI-driven features such as autonomous regression runs in beta.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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