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.

Endtest provides a comprehensive no-code automation platform tailored for end-to-end web and mobile application testing. It enables teams to build, maintain, and execute robust tests without requiring advanced QA engineering skills. The solution incorporates advanced AI-powered features, including self-healing tests and computer vision technology, to detect UI changes and adapt test scripts automatically.

Designed to seamlessly fit within CI/CD pipelines, Endtest supports test scheduling, parallelization, and integrations for scalable automation workflows. It covers web, mobile, API, email, and SMS testing across a range of browsers and environments, prioritizing data security and enterprise scalability.