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Use cases / Education & growing teamsHiring managers and agencies

AI CV screening and candidate shortlisting

A single job post brings in hundreds of applications. Good candidates wait a week for a reply while someone skims CVs, and many accept another offer in the meantime.

What we would build

The solutions we put on the table.

  • CV reading and scoring

    Each application is read against the role's real must-haves and ranked, with the reasons written next to the score.

  • Screening questions

    Short follow-up questions go out automatically where a CV leaves something unclear.

  • Interview scheduling

    Shortlisted people pick a slot straight from your interviewers' calendars.

  • Fair, reviewable decisions

    A person makes every call; the system only sorts, explains and saves time.

Worked example

Watch it do the job.

Example run

Applications, Senior Backend Engineer

2 yrs React, bootcamp graduate, looking for a first backend role.
8 yrs Go and Postgres, led a payments migration at a fintech, based in Lisbon, one month notice.0.91
10 yrs Java in enterprise banking, needs relocation support.
5 yrs Python data engineering, no Go experience yet.
  1. Must-haves checked: Go, Postgres, payments
  2. Seniority and scope matched to the role
  3. Reasons written next to the score
  4. Interview invite drafted for review
Match
0.91, top 5%
Strengths
Go, Postgres, payments
Next
Technical interview
Status
Shortlisted