mabl is an agentic testing platform that sits between build and release and verifies that software actually works. It creates tests, runs them across web applications, mobile apps and APIs, and repairs them automatically when the application changes, so coverage does not decay with every sprint. Its test runner can run inside an IDE or a terminal, which lets it check code written by AI coding agents as quickly as that code appears. Teams can start with a free trial or book a tailored demo, and mabl has been built around AI since 2017.
Quality engineers and test automation specialists get the most direct value, since mabl cuts the manual upkeep that normally consumes a regression suite. Developers can run verification from their own tools without learning a separate framework. Engineering managers and executives use its reporting to see quality signals across a whole product portfolio. Companies in regulated sectors benefit from the traceability that links requirements to test results, which gives auditors and stakeholders evidence rather than assurances. Low-code authoring also lets less technical testers contribute.
Typical scenarios include running end-to-end user journeys before every deployment, replacing a brittle Selenium suite with tests that heal themselves, and testing complex Salesforce workflows. A security vendor such as Barracuda uses mabl to check its data protection products before global releases and reports an 85% reduction in time spent on sanity testing. Teams also plug it into the CI/CD pipelines and issue trackers they already use, with hundreds of integrations available, and use cross-browser and performance runs to catch regressions in layout or speed before customers do.
