An AI recruiter, on the job

The recruiting team
you don’t have to hire.

HireLoop screens every applicant, compares the finalists, sources who’s missing, and hands you a shortlist — showing its reasoning at every step.

Screens 30 or 3,000 applicants — the same thorough first pass

Screen: “120 applicants for Senior Backend Engineer — screen them all.” / Reading résumés — parsing PDFs, drafting the bar from your JD — 118 screened · 14 above the bar · 2 need review

Source: “Pipeline's thin. Find more like the top scorer.” / Sourcing — searching, enriching, matching against your bar — 32 found · 6 above the bar · outreach drafted

Compare: “Compare the top three on payments experience.” / Comparing candidates — pulling evidence from résumé lines — 3 candidates · every claim linked to its line

Chat: “Draft interview questions probing the tenure risk.” / Reading the scorecard — mapping flags to questions — 5 questions · each tied to a flag

Share: “Send the shortlist to the hiring manager.” / Freezing snapshot — masking names and photos — link ready · expires in 14 days

Read overnight

Every résumé reviewed and ranked while you sleep — not just the first twenty.

Evidence-linked

Every score traces back to the exact lines in the résumé. Never a black box.

Bias-masked

Names and photos hidden for a fairer first pass. Reveal when you’re ready.

How it works

1
Drop the résumés

Upload a folder or forward your applications inbox.

2
The agent screens

Every candidate read and scored against your role’s real bar.

3
You decide

An evidence-linked shortlist, bias-masked until you’re ready.

An agent with full context,
working your whole pipeline.

Pipeline's thin. Find more like the top scorer.
/ Reading the top scorecard — what made her an 87
5 signals extracted
/ Deriving search criteria from your bar
3 must-haves
2 strong signals
/ Searching — job boards, GitHub, public portfolios
312 profiles scanned
/ Enriching — work history, stack, tenure
32 enriched
/ Matching against your bar — evidence required
6 above the bar
/ Drafting outreach in your tone
6 drafts ready for review

The bar

Every score needs a bar.
Yours.

HireLoop drafts the bar from your job description — then you make the call. Every candidate is measured against the same standard, and every verdict you give sharpens it.

Stage 1, reads your JD: parses the job description and pulls out the requirements that matter.

Stage 2, drafts the bar: turns those requirements into a bar with must-haves (backend depth, payments experience, scale) and nice-to-haves (mentorship, Python or Go).

Stage 3, you make the call: a recruiter promotes "Python or Go" to a must-have and adds a new requirement, "Owns production incidents" — your judgment, one edit away.

Stage 4, sharpens with every verdict: candidate verdicts (👍 or 👎) feed back into the bar, adjusting how much weight a requirement like payments experience carries next time.

Sourcing

Finds people who never applied

Outbound sourcing surfaces strong matches beyond your inbox, scored against the same bar — so your pipeline isn’t limited to whoever found you.

  • Search criteria derived from your bar
  • Profiles scored like applicants
  • Outreach drafted for review
Sourced · matched to your bar 14 surfaced
MK
Maya Krishnan
Staff Data Engineer · Series C
88 %
DA
Diego Alvarez
Senior ML Engineer · scale-up
82 %
PS
Priya S.
Senior Platform Engineer · fintech
79 %
SparkdbtAWSAirflowPython
outreach drafted for 6 · awaiting your review

Reasoning

Shows its reasoning, never a black box

Every score links to the exact lines in the résumé behind it. You see why a candidate ranked where they did — and can trust it, or overrule it.

  • Score breakdown per dimension
  • Every claim cites its résumé line
  • Overrule with one click
Why this score
87 /100
  • Backend depth
    “Re-architected the payments service” · résumé line 4
  • Scale
    “2M events/day through the new pipeline” · résumé line 11
  • Ownership
    “Led a team of 5, on-call rotation” · résumé line 7
Every claim links to the source. Nothing invented.

Fairness

A fairer first pass

Mask names and photos to judge the work first, with a full audit trail. Reveal identities when you’re ready to reach out.

  • Names, photos, schools masked
  • Auto-reveal on shortlist
  • Full audit trail
Anonymized triage identity masked
Candidate · Senior Backend Engineer
85 /100
Backend depth 86
System design 84
Judge the work first — reveal when you’re ready Reveal

Works with your stack

Plays nice with your ATS.
Or replaces it.

Bring your ATS

Pull roles and applicants in. Push decisions, notes, and scorecards back. Your ATS stays the system of record — HireLoop does the reading.

Greenhouse Lever Ashby Workable SmartRecruiters BambooHR

Two-way sync, rolling out per ATS.

Or run it all in HireLoop

No ATS? HireLoop ships with the pipeline built in — kanban stages, bulk actions, outreach, and shortlist sharing.

Pipeline · Senior Backend Engineer 24 candidates
Screened 14
PR 87
AO 79
Interview 4
DK 82
invite sent
Offer 1
JT 88
outreach drafted · 3 awaiting reply
  • Kanban pipeline with bulk actions
  • Reject, invite, and outreach emails drafted for you
  • Share bias-masked shortlists with hiring managers

Trust

Your candidates’ data, treated like it matters.

Encrypted end to end

TLS in transit, AES-256 at rest. Every tenant isolated.

Never trains models

Your candidates and decisions are never used to train AI models.

Evidence, not vibes

Every score traces to résumé lines — a full audit trail for compliance.

Bias-masked by default

Names, photos, schools hidden until you’re ready to reveal.

Stop reading 500 résumés by hand.

For talent teams who get more applicants than they can fairly read — and refuse to skim.

30-minute walkthrough · no setup needed · bias-masked by default