Applications got louder.
Signal got quieter.

AI-written CVs, cover letters and even whole applications are multiplying the number of applicants per role, while hiding the real signal in each one. Finding the right candidate has never been so hard.

Job seekers face the same problem from the other side.

Hundreds of people have applied before you've even found the role. Every job wants a custom-built cover letter, which takes days without AI. And somehow every filter system "regrets to inform you" that better candidates have been found.

It's not just CV vs. job description.

As more skills become commoditised through AI, matching the right candidate with a role comes down to the human themselves, and whether they're the right fit. The trick is testing for that at scale, across thousands of applicants.

Testing for the human, at scale.

We built a tool to help with exactly that. It lets recruiters test for empathy, the core skill in team-based roles, right at the start of the recruitment pipeline. The result is a soft-skills indicator that works alongside traditional tools to better identify the top candidates.

Why it works

Empathy, from the start Test the core skill in team-based roles at the very beginning of the recruitment pipeline.
Alongside your existing tools A soft-skills indicator that complements traditional screening instead of replacing it.
Data-driven, human-first A more evidence-based hiring process that treats human qualities as equal to hard skills.

Let's talk

If you're dealing with the challenge of getting meaningful signals from applications at scale, reach out to us.