process 01Smarter ScreeningRead and score every application, not just the top of the pile. 02Better ShortlistingRank on twenty signals, with the evidence behind each one. 03Faster SchedulingNo calendars, no slots. One link, good for fourteen hours. 04Fairer InterviewsQuestions built from the role, answers scored against a written rubric.
Pricing
use cases 01Resume VerificationEvery claim read in context, not lifted out as a keyword. 02AI Cheating PreventionBuilt for the copilot era: divided attention, novel questions. 03Volume ScreeningThe same rubric for applicant one and applicant a thousand. 04Pre-BGV FilterA consistency check before formal verification spend.
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Writing on hiring, and the machines doing it.

What we are learning building a system that reads every application, and what it means for the people on both sides of the process.

  1. Candidates93% of Candidates Admit They Lied. Only 26% Were Ever Caught.
  2. CandidatesThe Salary Has Always Been There. You Just Weren't Allowed to See It Until the End.
  3. Candidates35% of Your Next Best Hires Have Already Worked for You
  4. Candidates30 Career Patterns That Predict Success Better Than Any Keyword Match