Automatically check for accessibility issues and generate alternative accessible formats using advanced Machine Learning algorithms.
Guide instructors on how to improve the accessibility of their course content and alter future behavior.
Provides institution-wide reporting on course content accessibility and drive further improvements at the institution.
Provides feedback on website content accessibility in real-time, instead of only at periodic check points.
Automatically checks content for accessibility issues against our accessibility checklist based on key areas of the WCAG 2.0 A.A. standard.
Offers insight into the overall accessibility performance and a breakdown of issues to allow for prioritization of resources.