AI-native end-to-end test automation — build resilient browser tests in plain English, run them in the cloud, and let the AI self-heal when selectors change.
AI-native end-to-end test automation — build resilient browser tests in plain English, run them in the cloud, and let the AI self-heal when selectors change.
Momentic is a modern QA platform that replaces brittle Selenium/Cypress test suites with AI-authored, self-healing end-to-end tests. Instead of writing selectors and waits by hand, QA engineers or PMs describe each test step in natural language — for example, "click the checkout button", "verify the total shows $47.99" — and Momentic's agent uses computer vision plus DOM reasoning to find and interact with the right element, even as the UI changes. When a selector drifts because a designer renamed a button, the AI adapts automatically and flags the change for review rather than failing the run. Tests run in parallel in Momentic's cloud grid across Chrome and mobile viewports, with full video, network waterfall, and console log capture for debugging. The platform integrates with GitHub, GitLab, Bitbucket, Jenkins, CircleCI, Vercel Preview, and Netlify so you can gate PRs on a real user-flow test suite, and it supports authenticated flows, third-party OAuth, MFA, and payment sandboxes out of the box. For customer-support and success teams, Momentic's Sessions feature lets non-engineers record a bug once and replay it as a repeatable test. MCP support lets AI dev agents write and trigger Momentic tests as part of a coding loop. Pricing includes a free tier for small teams and usage-based plans that scale with monthly test runs.
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