Boston-based Mabl is a company that has developed a software testing platform using machine learning — which has just announced an enterprise product. Mabl has raised $20 million in Series B funding led by GV (formerly known as Google Ventures) and general partner Karim Faris is also joining Mabl’s board in conjunction with the funding. Existing investors CRV and Amplify Partners participated in this round as well.
This $20 million Series B round comes shortly after a $10 million Series A round that was raised in February. Mabl founder Izzy Azeri told TechCrunch that the company quickly raised the Series B because servicing the enterprise market requires a lot of capital.
Azeri and his partner Dan Belcher decided to launch Mabl shortly after selling Stackdriver to Google in 2014. After doing some research, Azeri and Belcher realized that quality assurance was not keeping up with the speed of modern development. The two saw development teams spending a lot of time testing and decided to use machine learning to help automate the quality assurance process. And this quality assurance process would be delivered in the form of a cloud service.
“At its core, Mmabl uses the power of cloud computing, data analytics, and machine learning to make testing easier,” said Mabl co-founder Dan Belcher via SiliconAngle. “The value of Mmabl’s intent-driven automation framework, auto-healing tests, and anomaly detection, increase exponentially in larger, more complex environments.”
Mabl is able to look at a website and alert users about errors such as increased load times, broken links, etc. After a problem is discovered, it also sends a screenshot to the development team so they can analyze the potential issues.
And Mabl allows each of its customers to try the full suite of features for 21 days. From that point, they can decide whether to switch to a Pro account or an enterprise version.
As of right now, Mabl has 30 employees working out of Boston and there are plans to hire 70 more people in the next year especially in enterprise sales, customer success, and engineering.
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