Applied uses data-driven anonymized applications to mitigate bias, removing identifiable information and standardizing candidate assessments. It emphasizes a skills-first approach with customizable tests and scorecards. Applied’s platform also supports diverse hiring panels and analytics to track progress in bias reduction.

Applied uses data-driven anonymized applications to mitigate bias, removing identifiable information and standardizing candidate assessments. It emphasizes a skills-first approach with customizable tests and scorecards. Applied’s platform also supports diverse hiring panels and analytics to track progress in bias reduction.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.