4/24/2018 10:30:50 AM
Applitools raises $31M to advance visual AI
Visual AI,Visual Machine Learning,Application Delivery Cycle
App Developer Magazine

Applitools raises $31M to advance visual AI

Christian Hargrave Christian Hargrave in Artificial Intelligence Tuesday, April 24, 2018

Applitools announces another successful investment round. The company is the maker of an artificial intelligence powered visual testing and monitoring solution.

Applitools has announced it has raised $31 million in Series C funding led by OpenView, the expansion stage venture firm, with participation from its existing investors Sierra Ventures, Magma Venture Partners, iAngels, and La Maison. Applitools will use this investment to fuel market expansion of its Artificial Intelligence (AI) Powered Visual Testing and Monitoring solution by scaling its R&D, Operations, and Sales.

“Our mission is to help customers automate all visual aspects of application delivery, and address the growing importance of providing exceptional digital experiences across any device, browser, operating system, and language,” said Gil Sever, CEO of Applitools. “We are excited to partner with OpenView to scale our enterprise-grade platform to support digital transformation with the velocity and quality that businesses demand.”

Applitools developed a Visual AI Engine that mimics the human eye and brain in a reliable and scalable fashion. Applitools Eyes, the company’s Automated Visual AI Testing and Monitoring Platform, leverages a data set of UI validations and "achieves 99.999 percent accuracy, i.e. less than 10 false detections in a million comparisons." The company’s AI engine continues to evolve through machine learning by analyzing millions of new images on a daily basis.

The company says that their goal is to help shorten the application delivery cycles and improve software quality. By helping prevent visual flaws from occurring in the application delivery process, teams can avoid the issues that frequently result from events such as browser and operating system updates, new devices penetrating the marketplace, and the effects of dynamic content on the web.

DevOps toolchain only supports the functional aspects of modern application delivery in areas like testing, monitoring, Continuous Integration (CI), Continuous Delivery (CD), accessibility, security, bug tracking, collaboration, source control, and more. AVM applies Visual AI technology to add automated visual validation of all the visual aspects of application delivery to the DevOps toolchain, allowing acceleration and full automation of the entire delivery process. Fortune 100 companies have already realized significant benefits through the use of Visual AI technology and those benefits can now be offered to any Enterprise or SMB. This round of funding will be used to expand the offering with new capabilities and to target users across the entire software development, delivery, and monitoring toolchain.

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