Launching today
AxonQA
AI powered QA workspace for confident software releases
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AI powered QA workspace for confident software releases
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AxonQA helps teams answer “Can we ship?” with evidence. It generates test cases from requirements and connects manual testing, browser automation, API checks, coverage, defects and requirement drift. Axon, the assistant across the workspace, can coordinate gated runs, investigate failures, build API flows, prepare Jira or Azure DevOps bugs and explain release blockers. AxonQA assesses each release against the team’s quality rules and records the verdict, evidence and accepted risks.
Hi Product Hunt, I’m Efosa, the founder of AxonQA 👋
Every release eventually comes down to a question: can we ship, and what evidence backs that answer?
A green test run can hide uncovered requirements, unfinished manual testing, or an open critical bug. I built AxonQA to connect evidence that usually lives in separate tools. The platform can generate test cases from requirements, run manual, browser and API checks, and tie results to coverage, defects and releases.
Axon is your assistant across that connected workspace. Ask for an outcome in plain English and it can coordinate real work: run smoke checks and continue to full regression only if they pass, investigate a failure using its run evidence, build an API workflow, prepare a Jira or Azure DevOps bug for your review, or explain what’s blocking a release. It shows you what it did and brings back the evidence, with approval controls for important actions.
For each release, your team defines the quality bar. AxonQA assesses the evidence and records whether the release is ready, ready with accepted risks, or not ready. People still own the decision.
AxonQA is live, and I’d genuinely value feedback from anyone responsible for testing or release decisions: what would you need to see before trusting an assessment like this for your own team? What still takes too much manual work in your process?
I’ll be here to answer questions and learn from the tough ones. Thanks for taking a look.