mabl launches with $10M Series A to bring machine learning to software testing

mabl, the Boston-based start-up and provider of an automated testing service that utilises machine learning to automatically fix broken tests and identify regressions, has announced that it has raised a $10M Series A from venture capital firms CRV and Amplify Partners and has launched its service into free early access. SaaS solution mabl is designed to serve as a virtual QA engineer, automating many of the time-consuming QA tasks that software teams struggle with today, explained Co-founders Izzy Azeri and Dan Belcher. The founders last worked at Google, which had acquired their previous company, Stackdriver, in 2014, before starting mabl in early 2017. Delivery teams that want to operate at the pace of continuous integration and continuous delivery increasingly turn to AI-based solutions to overcome the shortcomings of traditional test automation frameworks. “We have interviewed hundreds of software teams, and their message is loud and clear: QA is struggling to keep pace with DevOps. This area hasn’t received the level of investment and innovation that we have seen in other aspects of modern development, and teams are forced to choose between quality and speed,” said Azeri. “mabl is really about making QA automation as simple as possible. With intelligent test creation, maintenance, and analysis, mabl is helping QA reclaim its vital role in software development, improve product quality, and keep pace with development. You can create tests in minutes and we handle the burden of running and maintaining them and analysing the results,” continued Belcher. During the preview period, the service will be free to all developers. After that, the team – which currently consists of around 20 people – will start monetizing the service. Current mabl users, who began testing the service during its closed beta, include a number of financial services as well as the likes of RunKeeper, creative agency 24G and Codeship.