Mabl is an AI-native, low-code test automation platform that helps software teams create, run, and maintain end-to-end quality coverage across web, mobile, and API applications. Founded in 2017 by former Google engineers Izzy Azeri and Dan Belcher, the company was built around machine learning from the outset rather than retrofitting AI onto a legacy framework.
The platform lets users build tests through recording and playback, then applies AI to automatically adapt or auto-heal those tests when an application's UI changes, reducing the brittle-test maintenance that traditionally burdens QA teams. Mabl runs tests continuously across browsers and devices, surfaces failures and performance regressions, and integrates with CI/CD pipelines so quality checks run on every change. More recent capabilities extend to agentic testing, where the platform helps generate and maintain coverage as teams ship code faster with AI assistance.
Mabl serves engineering and QA organizations at mid-market and enterprise companies, with publicly cited customers including JetBlue, Intuit, Workday, and Mercedes-Benz. The company is SOC 2 Type II certified and offers governance and audit features for regulated industries such as financial services, healthcare, and insurance.
Mabl raised a $40 million Series C in 2021, bringing total funding to roughly $77 million from investors including CRV and GV. It is recognized as a leader in AI-driven testing by review platforms such as G2, positioning itself as a unified quality engine for teams modernizing their software delivery.