// SkipHR Verify
300 resumes.
Only 3 are real.
You spend hours on calls with candidates who can't explain their own resume. SkipHR Verify catches them before you pick up the phone — with questions only the real person can answer.
First 10 candidates free. No ATS integration required.
> Parsed 3 claims from resume
> Led migration to Kubernetes
> Reduced infra cost by 40%
> Built real-time data pipeline
> Generated verification questions
// The Problem
Hiring is broken from the resume up
The AI application flood isn't slowing down. Every workaround so far has made it worse.
Every resume looks the same
AI tools let one person send 200 tailored applications a day. Keyword matching, ATS filters — all bypassed. Your pipeline is full, but signal is gone.
The resume doesn't reflect reality
They made it through your ATS, passed the keyword filter, look great on paper. Then you get on a call and they can't explain a single thing they claim to have built.
You find out too late
Screener passes 50. You call 20. Half can't explain what's on their own resume. That's weeks of recruiter time spent discovering what a 10-minute async check would have caught.
// How It Works
Resume in. Signal out.
Four steps. No integrations. Paste a resume and go.
> Paste resume + job description
Drop in the candidate's resume and the role you're hiring for. No integrations, no ATS setup required.
> AI parses claims, generates questions
SkipHR extracts specific claims — companies, roles, achievements, technologies. Generates 3–5 questions only someone who was actually there can answer.
> Candidate answers async
They get a link and answer on their own time. No scheduling needed. Answers are specific enough that you can't Google them — they either know or they don't.
> You see confidence scores
AI evaluates answers on specificity, consistency, and depth — not writing style. You get a confidence score per claim and a plain-English summary. Decide in minutes, not days.
// The Difference
We're not anti-AI.
We're pro-truth.
AI-assisted resumes aren't the problem. Unverifiable claims are.
Detection asks: how was this written?
Wrong question. Strong candidates use AI to better phrase real experience. Fakes learn to humanize output. Detectors can't tell the difference.
Verification asks: did you actually do this?
Right question. Someone who really led that Kubernetes migration knows which nodes they touched first and why. A fake doesn't.
> A strong engineer who used AI to write a better resume passes. A fake with a polished resume gets flagged. That's the filter you actually want.
// Ready to try it?
Run a pilot on your next open role.
20-minute call. First 10 candidates on us.
No ATS integration required. No contract.