Rainforest QA
AI-powered, no-code test automation platform for web applications — create, run, and maintain QA tests visually.
| What is it | AI-powered, no-code test automation platform for web applications — create, run, and maintain QA tests visually. |
|---|---|
| Pricing | Contact for Pricing |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Best for | automating regression testing for web apps, integrating QA checks into CI/CD pipelines |
| Domain registered | 2012 |
Data updated Aug. 1, 2026
What does Rainforest QA do?
Rainforest QA is a test automation platform that uses AI to help software teams create, run, and maintain quality assurance tests for their web applications. It focuses on providing a visual, no-code interface so that people without programming skills can build and manage tests. The core idea is to move teams away from manual, ad-hoc testing or brittle, code-heavy automation frameworks.
The platform works by first using its AI to analyze your website and suggest a test plan. You can then generate test steps with AI, which drafts the actions a user would take. A key feature is the self-healing capability; when your application's user interface changes, Rainforest QA's AI can automatically update the affected tests to prevent false failures. Tests are run in parallel for speed and can be triggered from command-line tools or integrated directly into continuous integration workflows like GitHub Actions and CircleCI. Every test run includes a video replay and access to browser logs to make debugging quick.
This tool is built for growing SaaS companies and development teams that have moved past the 'just ship it' phase and need more reliable quality checks without a long setup time or hiring specialists. It's particularly useful for teams where product managers or developers need to own the QA process, or where traditional coded test suites have become too difficult and time-consuming to maintain. The transparency of results means anyone in the organization can see what is tested and what failed.
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