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OctoMind

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AI QA platform that explores a web app's clickable elements and flows, then generates, runs, and self-heals Playwright tests with no coding required.

Octomind automates end-to-end testing by exploring a web application's actual clickable elements and user flows, generating Playwright-based tests either from natural-language prompts, by recording a flow directly, or through Model Context Protocol integration, and then running them at scale on managed infrastructure. When something breaks, its AI-powered auto-fix suggestions aim to repair the test rather than leaving it permanently red.

It's built with a specific emphasis on transparency: all generated test code stays accessible, portable, and open-source-friendly rather than locked inside a proprietary black box, which matters for teams wary of test-automation vendor lock-in. It's SOC 2 compliant and privacy-first, stating that user data isn't used for training, and supports testing private applications behind a firewall along with trickier scenarios like one-time passcodes, file uploads, shadow DOM, and email-based flows.

It was founded by Marc Mengler and Daniel Rödler, both developers who had been frustrated by brittle, manually-maintained QA suites, which shows in the product's focus on reducing ongoing maintenance rather than just initial test generation.

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