QA automation with AI

6 workflows. Test every branch in a real browser, run nightly regressions and reproduce reported bugs, with a video of what happened.

$149/month per workspace · Unlimited people · AI usage billed by your provider

All qa workflows.

6 workflows

See how QA teams use Maito

Where AI helps a QA team.

Maito can use a real browser, which makes it useful for the repetitive checking in QA. It tests a branch in a real browser before merge and records a video of what it did. It runs a nightly regression run, reproduces a reported bug against the last release, and checks the site on many screen sizes. It also writes test cases from a spec and checks for broken links and pages.

People decide what the results mean. An engineer fixes or merges after a branch test, the team fixes what the nightly run finds, and a QA lead reviews test cases before they are used. A designer decides whether a layout on a small screen is acceptable. Maito reports what it saw. It does not merge code or decide that a release is ready.

Start with reproducing a bug. Connect your repository, add a test login for your app to the Vault, and mention @Maito in Slack with the customer's report and the release to test against. When the steps and video are reliable, set up the nightly regression run as a Loop that posts failures to your QA channel.

Questions.

Put your AI teammate to work.

Set it up in minutes. Start with one workflow, and let it earn the next one.