Now in early access

HIRE
SMARTER.

Upload a job description and your candidate pool. SCOUT scores every applicant with cited evidence from their resume — ranked by match percentage and ready in under a minute.

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Instant
Criteria extraction
< 60s
Processing time
0–100%
Match score
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SCOUT — batch_2024_q4.results
Screening Complete
12 resumes · 47s
1
Jordan M. BEST FIT
Sr. Software Engineer
94%
2
Priya S.
Full Stack Developer
81%
3
Marcus T.
Backend Engineer
76%
4
Aisha K.
Software Engineer
58%
5
Liam R.
Junior Developer
34%
Evidence

"8.4 yrs experience calculated from employment dates — meets the 5+ yr requirement."

Up to 200 resumes per batch ✦ PDF & .docx supported ✦ AI criteria extraction ✦ Evidence-cited scoring ✦ Percentage match scoring ✦ Best Fit recommendation ✦ PDF & email export ✦ Human-in-the-loop ✦ Up to 200 resumes per batch ✦ PDF & .docx supported ✦ AI criteria extraction ✦ Evidence-cited scoring ✦ Percentage match scoring ✦ Best Fit recommendation ✦ PDF & email export ✦ Human-in-the-loop ✦
23h
Wasted per open role
on manual resume review
75%
Of resumes are rejected
before a human sees them
6×
Faster with AI screening
vs. manual shortlisting
$4.7k
Average cost per hire
that bad screening inflates
The problem

Manual screening is
killing your pipeline.

Recruiters spend an average of 23 hours per open role manually reviewing resumes. Most of that time is wasted on candidates who don't meet basic criteria — criteria an AI can check in milliseconds.

SCOUT doesn't replace your judgment. It eliminates the grunt work so you can spend your time on the candidates who actually deserve it.

How it works

Four steps. Zero guesswork.

stage-1.scout
// Job Upload
$ scout upload --jd "senior_eng_jd.pdf"
✓ Job description parsed
Extracting criteria...
[required] 5+ years experience
[required] Python proficiency
[preferred] AWS experience
[preferred] System design background
✓ 7 criteria ready — edit before continuing
1 Stage 1

Job Upload

Paste or upload a job description — PDF, .docx, or plain text. SCOUT's AI reads it and extracts every requirement as a structured criterion, tagged Required or Preferred.

  • Supports PDF, .docx and plain text
  • AI extracts criteria in seconds
  • Edit, add or remove before continuing
stage-2.scout
// Resume Upload
$ scout batch --resumes ./candidates/
✓ 12 files queued
Parsing jordan_m.pdf ████ done
Parsing priya_s.docx ████ done
Parsing marcus_t.pdf ███░ 78%
Parsing aisha_k.pdf ██░░ 50%
...and 7 more
Processing in background →
2 Stage 2

Resume Upload

Drag and drop up to 200 resumes. SCOUT parses each one in the background — extracting name, employment history, skills, and dates — while you move on.

  • Batch upload up to 200 at once
  • PDF and .docx parsing
  • Inline validation, no error pages
stage-3.scout
// Resume Comparison
RANK NAME MATCH EXP PY AWS
──── ────────── ────── ─── ── ───
#1 Jordan M. 94% ✓ ✓ ✓
#2 Priya S. 81% ✓ ✓ ✗
#3 Marcus T. 76% ✓ ✓ ✗
#4 Aisha K. 58% ✗ ✓ ✗
#5 Liam R. 34% ✗ ✗ ✗
3 Stage 3

Resume Comparison

A ranked, sortable table lands the moment scoring completes. One row per candidate — their percentage match score and a pass/fail chip for every criterion.

  • Sort by match score
  • Per-criterion pass/fail at a glance
  • Bulk export to PDF or email
stage-4.scout
// Resume Analysis
★ BEST FIT: Jordan M. — 94%
✓ [required] 5+ years experience
"8.4 yrs from employment dates"
✓ [required] Python proficiency
"Listed in skills + 4 projects"
✓ [preferred] AWS experience
"AWS Certified + 2 roles at AWS clients"
4 Stage 4

Resume Analysis

Click any candidate for a full split-view: parsed resume on one side, job criteria on the other. Every score has a plain-English evidence statement you can verify in seconds.

  • Best Fit banner on the top candidate
  • Per-criterion evidence breakdown
  • Prev/Next across all candidates
The trust mechanic

Every score has a
receipt.

SCOUT doesn't just output a number. For every criterion in the job description, you get a plain-English explanation pulled directly from the candidate's resume — so you can verify any score in seconds.

Hiring decisions affect people's lives. We built SCOUT to augment human judgment, not replace it. Every results page carries a human-verification reminder.

5+ years of experience — Required
"8.4 years calculated from employment dates: Acme Corp (2016–2021), NovaTech (2021–present)."
Python proficiency — Required
"Python listed in Skills section and referenced across 4 projects in work history."
AWS experience — Preferred
"AWS Certified Solutions Architect (2022). Two roles included AWS infrastructure ownership."
System design background — Preferred
"No explicit system design experience found. Resume references APIs but no architecture-level work."
AI-powered · Evidence-backed · Built for hiring teams

Stop reading resumes.
Start making decisions.

Submit your first screening in under 2 minutes. Receive ranked, evidence-backed results before your next meeting.

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