Built for hiring teams dealing with 300 applications for every role.
AI-generated applications didn't break hiring slowly — they broke it all at once. In the space of 18 months, the average job posting went from 50 applications to 250. Most of them AI-polished, AI-structured, and AI-written. Hiring managers who used to spend 30 minutes screening now spend 3 hours — and still can't tell who actually wants the job.
Axys Analysis was built to fix that. Not by adding another filter to the resume pile, but by adding a different signal entirely: cognitive ability. How someone thinks under time pressure. How they reason through unfamiliar problems. Whether they actually processed the question or generated a plausible-sounding answer.
The assessment generates from the job description automatically. No test library. No manual curation. A PM role gets a different assessment than an analyst role — because the cognitive demands are different. The score lands in your ATS before the first interview is scheduled.
We believe hiring decisions should be based on how people think — not how well they write a cover letter with GPT.
The more it's used, the smarter it gets.
Every assessment Axys Analysis runs contributes anonymised cognitive scores to our benchmark dataset. Over time, this builds the most detailed picture of cognitive performance by role, seniority, and industry — which means our scoring gets more accurate, and our role-weighting gets sharper, the more the platform is used.
Want to be an early design partner?
We're working with 10 hiring teams to shape the product. 3 months free in exchange for regular feedback and a case study at the end. Ideal fit: TA leaders at companies using Greenhouse or Lever, 50-500 employees.
Apply to be a design partner →