[3] Its software-as-a-service utilizes machine learning to create databases of context-sensitive support answers for end-users of webpages and mobile applications, thus reducing the need for human customer service.

His performance was generally favored by the board, but Wobbrok has admitted his tendency to focusing on interesting scientific details that might not be relevant to business success.

[18] In 2016, AnswerDash has recorded the biggest jump in GeekWire 200 rating, a ranked index of Pacific Northwest startups.

It employs a natural-language engine and machine learning technology that allows website and application owners to build the database of answers in a matter of several days.

[9] In addition, AnswerDash utilizes data mining technology to provide business owners with valuable analytics on their consumers' behavior that leads to further improvement of their e-commerce services.