Increase diversity and predict better candidates

The hiring platform that removes bias by using anonymous, predictive skills-based methods.

How Applied can transform your hiring

Up to 4x increase in ethnic diversity

We remove opportunities for unconscious bias by using predictive, anonymous skills-based assessments and ditching the CV so candidates from all backgrounds have a fair chance.

3x as many suitable candidates

By assessing candidates on merit, not background, you’re more likely to have quality candidates at the end. Hiring teams using Applied find that they have up to 3x as many suitable candidates than before.

66% reduction in time spent hiring

Our end-to-end platform makes managing the candidate journey easy, from sourcing to hiring. We make the hiring process as efficient as possible, including automated feedback and data-driven shortlisting.

Try Applied's On-demand Demo

Try our guided, interactive tour of the platform to understand what Applied is and how it helps you to hire in the fairest way possible. No sales pitch, no questions, just the Applied platform.

Why Applied?

"In the incredibly crowded recruiting technology space, Applied is one of the only solutions that not only works, but works because the science is real. If you care about building a more competent and diverse workforce, buy this product."

Laszlo Bock, ex-Google Head of People & founder of Humu

What other customers had to say...

Applied are building the future of hiring

Applied is the essential platform for de-biasing hiring. By anonymizing applications, leveraging a skill-based methodology, and building transparency and analytics into every step of the process, our platform discovers genuine talent that would have otherwise been overlooked.

When organizations courageously and intentionally change the way they hire, they not only produce the best teams but ultimately help build a fairer, more inclusive world.

Speak to one of the Applied team

We offer a faster way to find quality, diverse talent by removing unconscious bias across the entire recruitment process.