Every resume read, not skimmed.
Narad reads each resume against the role you described, scores the fit, and writes a short explanation beside every score. Your shortlist arrives ranked and explained.
Why screening stopped working
Every resume reads well
AI writing tools polish every application, so on paper most candidates look qualified and a keyword filter passes nearly all of them. Telling candidates apart now takes a real evaluation of each one.
What Narad does instead
Candidates arrive from where they already are
A CSV, a batch of PDFs, a spreadsheet link or a connection to the system your team already keeps candidates in. Duplicates are recognised on arrival.
Read against this role, not a keyword list
Scoring is against the job description your team wrote, which is why an application optimised for keywords does not score like a match.
Ranked, with the reasoning attached
Each resume comes back with a score and the reasoning that produced it, so a shortlist can be reviewed rather than taken on trust.