AI is making it easy to apply to everything,
and harder to tell who's actually strong
fairsort helps you cut through the noise in CVs and resumes
THE PROBLEM
Too many applications. Hard to tell who actually fits.
Applying for jobs has never been easier. With AI, candidates can generate tailored resumes and apply to dozens or hundreds of roles in a short time.
As a result, every role attracts a flood of applications, many of them looking like strong matches on the surface. When everything looks aligned, it becomes harder to tell what's genuinely relevant and what's just been optimised to fit.
THE SOLUTION
See what actually supports each CV and resume
fairsort looks at CVs and resumes differently. Instead of trying to justify why someone fits a role, we focus on what evidence actually supports that.
Each one is assessed against the criteria you set, using a combination of structured checks and deeper comparisons. fairsort looks at how a CV or resume relates to the role, and how it compares to others, rather than relying on simple matching or summaries.
Candidates are then placed into clear bands like strong, consider, or unclear based on that evidence. We use AI to support this process, not to make decisions, so everything remains transparent with no black boxes or automatic filtering.
How It Works
From inbox to short list
Connect fairsort or upload CVs and resumes
Add fairsort to monitor your inbox or upload CVs and resumes directly. No changes to your existing workflow.
See what's actually there
Each one is broken down into clear, job-relevant evidence and grouped into simple categories like strong, consider, or unclear.
Focus where it matters
We highlight signs of over-optimisation or gaps so you can quickly focus on what needs a closer look.
EXPERIENCE
Built on years of experience in recruitment technology
fairsort is built by a team with over a decade of experience designing and building systems used to review applications. That experience is now focused on solving a new problem: making it easier to see what actually matters when everything looks like a match.
GET EARLY ACCESS
Start making sense of your applications
Join the waitlist to get early access and help shape how fairsort works in real-world use.