See every candidate clearly.Hire with confidence.
Fast, fair, explainable AI-driven candidate review — built on speed, accuracy, fairness, and trust.
The AI never selects or rejects anyone. It scores and groups each résumé by how closely it matches the requisition and flags inconsistencies for your recruiters to verify — every hiring decision stays with your company.
One tool, three jobs done well.
Recruiters
Triage hundreds of inbound resumes per role into a ranked, evidenced shortlist — and draft personalized follow-ups in the same place.
Hiring managers
Get a grouped, High Match ★ down to Not-a-fit view with per-criterion findings you can defend in a debrief — instead of scanning resumes between meetings.
HR ops & compliance
Identity is masked by default and every reveal is audited. Show a clean access log on demand and keep retention defaults aligned to policy.
From stack of resumes to shortlist — in minutes.
A focused workflow designed for recruiters and hiring managers who care about both throughput and fairness.
Upload the job & resumes
Paste a JD or link, drop in up to 500 resumes per role. PDF, DOCX, TXT — we sanitize and de-identify before any AI sees them.
AI evaluates against your criteria
Each resume is scored on every criterion you confirm — with verbatim evidence quotes, not vibes. Star-resume calibration anchors keep the bar honest.
Shortlist with confidence
Tiered results with explainable findings, follow-up questions, and one-click drafts. Reveal names only when you're ready — every reveal is audited.
Built for the decisions hiring teams actually have to defend.
Six capabilities that turn a stack of resumes into a ranked, evidenced shortlist — without the shortcuts that get teams in trouble.
Every score is backed by a verbatim quote.
We score each resume against the criteria you confirm — never a fuzzy 'overall fit' number. Each criterion gets a rating, a short rationale, and the exact line from the resume that supports it.
- Per-criterion ratings, not a single black-box score
- Verbatim evidence quotes — no hallucinated credentials
- Click any finding to jump to the source in the resume
Five review groups, led by High Match ★ — organized for human review.
Candidates land in clear review groups (High Match ★, Strong match, Potential fit, Borderline, Not a fit) so your hiring team can prioritize review at a glance. Within each group, candidates are ordered by weighted criterion coverage — and High Match ★ recomputes as your pool grows. The groups only organize résumés for human review by how closely they match the requisition; the AI never selects or rejects anyone — every advancement and rejection decision stays with your recruiters.
- Five review groups with explainable thresholds, plus a relative High Match ★
- Ordered inside each group, with reasons you can defend
- Re-evaluate any time you adjust criteria or star resumes
Anchor the bar to people you've already hired well.
Upload up to 5 resumes of top performers per role. We de-identify them, summarize what made them strong on each criterion, and use them as calibration anchors — never as a shortcut for credit-by-association.
- Capture institutional knowledge from your best hires
- Strict prompt rules block 'looks like' favoritism
- Stars are de-identified before any model sees them
Names stay hidden until you choose to reveal them.
Lists, dashboards, review views, and exports all show a sanitized code like resume-A7K2.pdf — not the candidate's name. Recruiters reveal a name only when they need to, and every reveal is logged with who, when, and why.
- Default masking across every screen and admin view
- One-click reveal — individual or bulk — when warranted
- Per-candidate access log you can show to compliance
From shortlist to outreach without retyping a thing.
For every candidate, we draft a personalized follow-up email keyed to the gaps and strengths the evaluator found — with targeted clarifying questions you can edit, copy, or open in your mail client.
- Subject + body pre-filled from per-criterion findings
- Bulk personalized outreach for an entire tier
- Your email signature is remembered across sessions
A workflow designed to remove the wrong shortcuts.
Identity is masked before evaluation. Star resumes can only inform the bar, never grant credit. Prompt-injection patterns in resumes are detected and surfaced. Every decision leaves a trail you can audit later.
- Names, photos, and demographic cues removed pre-evaluation
- Injection-defense sanitizer flags suspicious resume text
- Immutable audit events for every reveal and override
Upload a full applicant pool — up to 500 candidates — and get a ranked, evidenced shortlist in minutes.
Replace vague 'looks like a fit' with structured ratings and quoted evidence for every requirement you set.
Every evaluation, override, and identity reveal is captured — defensible for compliance, fair for candidates.
Security & Privacy, built in
Sightline Hire is designed around the SOC 2 Trust Services Criteria and modern data-protection regulations (GDPR, CCPA, PIPEDA). Privacy isn't a setting — it's the default.
Privacy-by-default identity
Candidate names are masked in every list and dashboard. Recruiters explicitly reveal a name when they need it — and every reveal is audited.
Encrypted end-to-end
HTTPS in transit, AES-256 at rest, OIDC sign-in with PKCE, and per-user authorization on every API route.
AI prompt-injection defenses
Resumes are sanitized before they reach the evaluator. Suspicious patterns are flagged so recruiters review with full context.
Explainable & auditable
Every evaluation cites per-criterion findings. Every identity reveal writes an immutable audit event you can inspect.
Questions hiring teams actually ask.
Models, storage, retention, exports, and disclosure — the short version.
What AI model do you use, and can it see candidate names?
Evaluations run on GPT-5.4 with strict JSON output. Resumes are sanitized first — names, contact info, photos, and obvious demographic cues are stripped before any model sees the text. The model never sees the candidate's real identity, and prompt-injection patterns in resumes are flagged before evaluation.
Where is our data stored, and is it used to train AI?
All resumes, evaluations, and audit events live in your private workspace database, encrypted with AES-256 at rest. Files are stored in object storage with signed-URL access. We do not use your data to train models — calls to the AI provider run under no-training terms.
How long do you keep raw resumes?
Default retention for uploaded files is 30 days, configurable per candidate up to a hard 180-day cap. Evaluation results and audit events are kept for the life of the workspace so your defensible decision trail stays intact.
Can I export results to share with a hiring panel?
Yes. Shortlists and per-candidate evaluations export with their tier, per-criterion findings, and the verbatim evidence quotes. Candidate names stay masked unless a recruiter has explicitly revealed them — and that reveal is logged.
How is this different from a black-box resume screener?
We don't return a single 'fit score'. Every rating is per-criterion, every finding cites a verbatim quote, every reveal is audited, and star-resume calibration is bounded by strict prompt rules that forbid credit-by-association. The point is a decision you can defend in writing.
Do candidates know they're being evaluated by AI?
That's your call and depends on your jurisdiction. We give you the audit trail (decisions, reveals, overrides) and per-criterion explanations so you can disclose accurately — including under laws like NYC LL 144, EU AI Act, and Illinois AIVI.
Your strongest matches, prioritized for human review.
Every candidate lands in one of five review groups. The top ~10% of your Strong matches are grouped as High Match ★ — a relative grouping that recalculates every time a new resume comes in, so your review priorities stay current as your pool grows. It prioritizes review; it doesn't decide.
Top ~10% of strong matches, relative to the current pool
Clear alignment with your must-haves
Meets most criteria with one or two gaps
Meaningful gaps — worth a second look in volume
Doesn't meet the role's core requirements
The AI itself never decides who is "exceptional" — the High Match group is inherently relative, so it only kicks in once a job has at least three strong matches to compare against.
Pay only for the work you actually run.
No seats, no monthly minimums, no contracts. A small per-job setup fee, then cents per candidate evaluated. Your org tops up a shared wallet — every member spends from the same pool.
| Item | Price |
|---|---|
| Job setup Once, when you create a job. Covers AI criteria extraction, star-resume calibration, and the evaluation rubric. | $4.00per job |
| Candidate evaluation Per resume scored against your confirmed criteria — includes parsing, sanitization, per-criterion findings, and tier placement. | $0.20per candidate |
| Re-evaluation When a candidate answers a follow-up, or you change criteria / add star resumes and re-run. | $0.15per re-eval |
What it costs in practice
| Scenario | Jobs | Candidates | Total |
|---|---|---|---|
Single role, light pipeline | 1 | 50 | $14.00 |
Small team, monthly hiring | 5 | 500 | $120.00 |
High-volume recruiting | 20 | 2,500 | $580.00 |
Try Sightline with a $500 credit on us.
During our beta we're seeding qualified hiring teams with a $500 wallet credit — enough to set up 5+ jobs and evaluate ~2,400 candidates with no upfront cost. Tell us a bit about your team and the roles you hire for, and we'll activate the credit on your workspace within one business day.
- No credit card required
- Nonrefundable — but never expires while in beta
- Top up later via invoice ($1k min) or card ($100 min)
Want a walkthrough or a price?
Tell us a little about your team and we'll get back within one business day with a tailored demo, pricing, or both.
Stop reading the same resume twice. Start hiring the right person.
Sign in to your workspace, drop in a job, and see explainable, tiered candidate evaluations within minutes.