QA.tech provides an AI-powered solution for end-to-end (E2E) testing of web applications. The platform leverages an AI agent, named Jarvis, to automate the creation, execution, and maintenance of QA tests. This allows development teams to focus on building and coding, accelerating their release cycles.

QA.tech's AI agent autonomously scans web applications, learns their structure, and generates tests mimicking user interactions. The system continuously tests the application, identifies defects with varying severity, and generates developer-friendly bug reports. These reports integrate with popular issue-tracking systems like Linear, Jira, and ClickUp, streamlining the debugging process.

Verex offers an AI-driven solution designed to automate Quality Assurance (QA) processes for web applications. It enables users to define test suites by describing test requirements in natural language, removing the necessity for traditional coding or scripting. This approach aims to significantly reduce the time spent on manual testing, script creation, maintenance, bug logging, and test data management, potentially saving numerous engineering hours each month.

The platform integrates with existing development workflows, allowing tests to be triggered through CI/CD pipelines, tools like Slack or Teams, or manually via its user interface. Upon execution, Verex provides detailed test reports featuring screenshots and insights. It also automates bug tracking by creating tickets directly in platforms such as Jira and Trello, facilitating faster debugging and issue resolution. Verex adapts dynamically to UI changes, reducing the maintenance overhead associated with fragile test selectors.