Compare the Top AI Testing Tools that integrate with Jira as of November 2025 - Page 2

This a list of AI Testing Tools that integrate with Jira. Use the filters on the left to add additional filters for products that have integrations with Jira. View the products that work with Jira in the table below.

  • 1
    ContextQA

    ContextQA

    ContextQA

    ContextQA is a groundbreaking product that empowers organizations to enhance their automation test coverage, elevate software quality, expedite product delivery, and significantly curtail expenses related to maintaining software quality through the utilization of AI-driven SaaS solutions. AI agents will transform your manual test cases and user stories into automated test cases. ContextQA collects evidence and performs root-cause analysis while reporting a bug. ContextQA identifies critical user paths and pinpoints gaps in the software testing process. Complete end-to-end testing, including contract testing, eliminates the need for separate front-end and back-end testing tools. Test and identify glitches, enhance performance, and guarantee seamless user experiences on a plethora of browsers, mobile devices, and OS. ContextQA simplifies the process of incorporating test cases with minimal effort, enabling rapid expansion of automation coverage for your products and services.
  • 2
    QA.tech

    QA.tech

    QA.tech

    We create a comprehensive memory of your web app and the interactions we engage in. Our QA testing agent identifies actions and objectives. Configure the tests with your own user credentials and data. Multiple personas monitoring the agent create defects varying in severity. Our AI agent reasons and takes steps to achieve test objectives. Automatic comments on your pull requests with actionable feedback. Generates developer-friendly bug reports, including console logs, network requests, and more. Testing takes time from building new features and even minor app changes that require updating the test code. Production bugs can cause strain on support, interrupt developers and even lead to customer loss. Manual testing is costly and results in slow feedback cycles, which can potentially delay releases.
  • 3
    CoTester

    CoTester

    TestGrid.io

    ​CoTester is the world's first AI agent for software testing, designed to transform the landscape of software quality assurance. It can detect bugs and performance issues both before and after deployment, assign those bugs to the team, and ensure they are resolved. CoTester is onboardable, taskable, and trainable to carry out day-to-day tasks like a human software tester, seamlessly integrating into existing workflows. It is pre-trained on advanced software testing fundamentals and the Software Development Life Cycle (SDLC), enabling it to assist quality assurance professionals in writing, debugging, and executing test cases up to 50% faster. CoTester possesses conversational flexibility, allowing it to understand and respond to complex testing scenarios, and it builds high-quality context to adapt to specific project requirements. Its easy knowledge base integration ensures that it can access and utilize existing project documentation effectively.