AI-assisted résumé screening, under the recruiter's control

LAVORU reads the résumés your team receives, structures the content and returns a comparative summary per job opening — every point cites the source passage, and the final decision is human.

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How LAVORU works

  1. Describe the job opening: title, requirements and the weight of each criterion, set by your team.
  2. Send the résumés as PDF, DOCX, PPTX, HTML or TXT; images and audio files are read and transcribed.
  3. Receive a comparative summary per candidate, with a citation of the source passage for every point.

Use cases

  1. High-volume openings: the recruiting team gets the material organized before the human review.
  2. Standardized evaluation: one fit criterion per job opening, applied the same way to every candidate.
  3. Decision audit: every point in the summary points to the résumé passage that supports it.

What LAVORU does not do

LAVORU does not make hiring decisions and does not evaluate a candidate outside the job opening's criteria. Unreadable or incomplete content is discarded with a record, never filled in by inference. No résumé is used to train third-party models.