AI-assisted test design
Analyze product context before generating cases.
Review modules, risks and estimated coverage, then approve only the drafts that fit the real product workflow.
Testers HUB AI
Move from requirements to reviewed test coverage, manual execution, defects, retesting, regression and release reporting in one connected QA workflow.
Available through managed Testers HUB QA engagements. Broader product access is being evaluated.
Complete QA workflow
Testers HUB AI is designed around the work a QA team must complete after the first draft is generated.
Working capabilities
Current screens show real Testers HUB AI functionality. We label roadmap items separately and do not publish unmeasured speed or quality claims.
AI-assisted test design
Review modules, risks and estimated coverage, then approve only the drafts that fit the real product workflow.
Manual execution and reporting
Create reusable suites, monitor live execution status and generate evidence-led summaries for product decisions.
One connected workspace
Organize projects, modules, test suites, runs and current QA status.
Draft coverage from approved requirements, then review and save useful cases.
Record Pass, Fail, Blocked, Hold and Not Run states with practical notes.
Connect issues to cases with steps, severity, screenshots and status.
Verify fixes, reopen unresolved defects and retain an auditable history.
Reuse approved coverage around critical paths, changes and prior failures.
Summarize execution progress, open risks and release readiness.
Expanded automation assistance is in development and is not presented as available today.
Product evidence
Our controlled benchmark records approved drafts, QA edits, rejected or duplicate scenarios, missing cases added by testers, draft time, review time and final approved coverage.
Results will be published only after the underlying evidence is complete and reviewable.
Choose the right path
Frequently asked questions
No. It connects AI-assisted test design with human approval, manual execution, defects, retesting, regression planning and QA reporting.
Yes. Approved client, product, development and QA stakeholders can receive secure access to follow test cases, execution progress, defects, evidence and summaries during a managed QA engagement.
No. AI accelerates analysis and drafting. Experienced testers review product context, approve coverage, execute workflows, document evidence and make release recommendations.
A project can begin from a website or web application URL, mobile build, PRD, BRD, Figma design, user stories or other approved requirements and workflow documentation.
Expanded automation support is on the roadmap. Current working capabilities focus on AI-assisted test design, human review, manual execution, defects, retesting, regression organization and reporting.
Early product access
Tell us how your team manages requirements, cases, execution, defects and regression. We will review the fit for a managed pilot or early product evaluation.