Another option is QA Sphere, a test management tool designed to make software testing easier. It comes with libraries of categorized and prioritized test cases, more sophisticated scheduling for test runs, and integration with issue trackers for logging bugs. QA Sphere also comes with dynamic visualization tools to monitor progress and has several pricing options, including a 30-day free trial. That makes it a good option for teams that want to automate and speed up their QA processes.
For a more complete solution, Octomind is using AI for end-to-end testing of web applications. It automates discovery, generation, execution and auto-fixing of tests to ensure reliable and fast CI/CD pipelines. Features include auto-discovery of critical user flows, auto-fixing of test code and high-performance hosting with parallel test suite execution. Octomind integrates with popular tools like GitHub and Azure, so it can fit into your workflow.
Last, ContextQA uses machine learning and AI to find bugs and improve performance on different devices, operating systems and browsers. It can handle a variety of testing types, including UI, Cross Browser, Cross Device and Web Performance testing. With integrations with tools like Jira and Azure DevOps, ContextQA helps ensure high-quality software delivery with minimal infrastructure overhead. The company is geared for companies that want to simplify their testing and deliver software faster and better.