Momentic

Momentic is an AI testing platform that runs end-to-end tests for web and mobile apps from plain-English descriptions of user flows for product and engineering teams that ship often. Instead of writing CSS selectors and waits, you describe what a user does and what should be true afterward, and Momentic's AI works out how to do it on the page. It positions itself as an AI QA engineer that also helps decide why a test failed, which is where much of the time in end-to-end testing goes.

What is Momentic used for?

Teams use Momentic to cover their critical flows, such as sign-up, checkout or onboarding, with tests that survive UI changes. The tests live in your repository as YAML, so they can be reviewed like code.

• Writing end-to-end tests as plain-English steps and assertions
• Running tests on web browsers and hosted Android and iOS emulators
• Self-healing when buttons or layouts change, with proposed repairs you approve
• Classifying failures as app bugs, flakiness or environment problems, with screenshots and traces
• Gating merges and deploys from CI with the Momentic CLI
• Letting coding agents write and check tests through an MCP server

Who Momentic is best for

Momentic suits startups and product teams without a large QA department, frontend teams tired of maintaining Playwright or Cypress selectors, and teams using AI coding agents who need fast checks that new code did not break core flows. It names customers such as Notion, Webflow and Retool. Teams that need deep load testing, or that test desktop software, will need other tools alongside it.

Momentic pricing

As of October 2026, Momentic has a free plan with 2,000 credits a month, all core features and AI test authoring, five concurrent browsers, one mobile session and 30-day result retention, with no credit card required. Runs stop when the credits run out. The Pay-as-you-go plan costs $125 per month for 10,000 credits, with extra credits at $0.01875 each, 25 concurrent browsers, Android and iOS emulators and a shared Slack channel. A normal test step costs 1 credit (2 if AI-generated), hosted browsers cost 1 credit a minute, and emulators cost more. Enterprise pricing is custom and adds SAML SSO, SCIM, audit logs and an SLA.

Limitations to keep in mind

• Credits are consumed by steps, browser minutes, emulator minutes and AI triage, so costs depend heavily on test volume
• Mobile sessions are capped at 15 minutes outside Enterprise
• AI-located elements can occasionally pick the wrong control, so review healed tests
• It covers functional end-to-end testing, not performance or security testing

Momentic vs alternatives

CoTester is an AI testing agent from TestGrid and fits teams that want a broader enterprise testing suite with real device clouds. Keploy is the better pick when the priority is API and integration tests generated from real traffic rather than UI flows. Qodo focuses on unit tests and code review inside the IDE. Momentic wins when you want readable, repo-stored end-to-end tests across web and mobile with failure triage built in.

Tips for getting started with Momentic

Pick your three most important user journeys and write those first, keeping each step short and specific. Add product terms and business rules to the knowledge base early, which helps the AI interpret steps correctly. Run the CLI in CI on pull requests before making it a hard gate. Check the credit usage page after the first week to see which tests are most expensive.

Momentic FAQ

Is Momentic free?

Yes, Momentic has a free plan with 2,000 credits a month and no credit card required. Paid usage starts at $125 per month for 10,000 credits.

Can Momentic test mobile apps?

Yes, Momentic tests Android and iOS apps on hosted emulators as well as web apps in hosted browsers.

Does Momentic work with CI pipelines?

Yes. The Momentic CLI can run tests in CI to gate merges or deploys, and an MCP server lets coding agents create and run tests.

What is the best alternative to Momentic?

CoTester is a close alternative for AI-driven UI testing, while Keploy is better for API testing generated from real traffic.