AI testing platform for web, iOS and Android: Mo bug-bashes your app from a prompt, and plain-English YAML tests run locally or in CI and heal themselves.
Summary
Autonomous QA agents that map your web or native mobile app, test the user journeys a pull request affects, and report what works before merge.
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Description
QA.tech tests a live application the way a user would, through agents that work from plain-language goals instead of scripts and selectors. The platform first builds a knowledge graph of your app's pages and flows; when a pull request lands it estimates which user journeys the change touches, runs those tests against a preview or staging environment, and comments on the PR with the result, recordings and suggested fixes.
A test is a goal and an expected result. The agent turns it into steps such as clicking, typing and following an email link, executes them in a real browser, and records a tracer, console log, network log and before/after screenshots for every step. Reusable configs hold login credentials, CSV data and system-provided items like single-use email inboxes for sign-up and magic-link flows, and file uploads and downloads can be tested too. Beyond web apps it covers exploratory, regression, API, voice, localisation and native mobile testing, and CI pipelines or coding agents can trigger and query it over MCP.
Plans are sales-led: Starter for one user and two environments, Growth with mobile, API and dynamic PR testing for up to five users, and Enterprise with custom users, unlimited environments and an optional fine-tuned model. It is built for product teams whose code output has outgrown manual review and scripted end-to-end suites.
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