For Technical Recruiters

Know what candidates actually built — before the interview

We translate publication records into an actionable research brief with contribution mapping, verified capabilities, and probing interview strategy—delivered as an easy-to-scan PDF.

Just a candidate name (or Google Scholar Profile) + role. We'll email the PDF.

Sample Candidate Research Brief

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Hidden Costs

Time and effort wasted without contribution mapping

30+ days

Wasting time interviewing the wrong candidates

8–12 hrs

Typical time to evaluate one candidate's publications

~60%

Of papers often have ambiguous contribution attribution

Missed Opportunities

What you lose when evaluating without clear signals

3 in 4

Interviewers typically ask generic questions that don't probe real work

~40%

Of senior hires may underperform due to overstated ownership

Is this for you?

We work best with research-heavy hiring workflows where you want more than a resume — you want confidence before the loop starts.

Best for

  • Hiring ML researchers, applied scientists, or research engineers
  • Evaluating candidates with multi-author or multi-lab papers
  • Teams that want better signal before onsite interview loops

Not a fit if

  • Candidates have no publications (or only a single short paper)
  • You want automated pass/fail decisions

Save 8+ hours per candidate

Recruiters prepping for a candidate with a research record can spend 8-12 hours. We cut that to about 10 minutes per brief so interview time focuses on what actually matters.

Cut screening from 2 days to 3 hours. We changed our interview loop after the first report—the probes caught gaps we would have missed.

ML Hiring Manager — Series B Startup

Finally, a way to see what candidates actually built versus what they were listed on. We've used it for 6 senior hires now.

Research Lead — Applied ML

Common questions

Get a free candidate research brief for your next hire.

Candidate name + role → Free Candidate Research Brief emailed to you