AI Resume Screening & Recruitment Platform

Description

We receive several thousand applications a month across engineering roles and read a fraction of them properly. We want screening support — emphatically not automated rejection. The system should surface why a candidate might fit, against the specific requirements of the role, and let a recruiter see the reasoning and disagree with it. Every shortlisting decision stays with a person. We are also clear that the tool must not use, infer or display name, gender, age, photograph or institution prestige as a ranking signal, and we will test it for that before it goes anywhere near a live requisition. If you have built candidate ranking before and have views on where it goes wrong, we want to hear them.

• Parse CVs in mixed formats into a structured profile — skills, experience, projects
• Match profiles against a role's stated requirements and show the evidence behind each match
• Exclude name, gender, age, photograph and institution from every ranking signal, and prove it
• Build the recruiter interface so a person can see the reasoning, override it, and record why
• Provide an audit log of every automated suggestion and the human decision that followed

• CV parsing and matching service
• Recruiter review interface with override and reason capture
• Bias test report covering the excluded attributes, run on a sample of real applications
• Audit log with export, for our compliance team