Verify before you interview.

In 2026, between 40 and 80 percent of job applicants use AI to write their resumes. Polished CVs no longer mean qualified candidates. We screen your inbound applications and run authenticity checks — before you ever schedule the interview.

Run a verification batch See how it works

The problem

The hiring funnel is broken on both sides.

Candidates use AI to write resumes, draft cover letters, and prep for interviews. Recruiters use AI to screen and respond. The result is a high-noise environment where polished documents have lost their signal value.

The cost shows up later — usually in the first thirty seconds of a real conversation, when a candidate who looked perfect on paper can't speak fluently about claims they made on their CV.

By that point you've already spent an hour preparing, a panel scheduling, and a manager interviewing. Multiply by every role, every quarter, and the wasted time becomes one of the largest hidden costs in hiring.

40–80%

of job applicants now use AI tools to draft resumes and cover letters. The era of the polished CV as a quality signal is over.

90%

of HR managers report increased workload from AI-generated applications. The volume is up, the signal is down.

19%

of organisations using AI screening tools report those tools have already filtered out qualified candidates. More AI on top of AI is not the answer.

What we deliver

Two checks.
One verdict per candidate.

Use either independently, or run both as a complete pre-interview screen. Both designed to be inserted between resume submission and your team's first human interview.

01 — CV Screening

From 200 resumes to 10 worth reading.

Forward us your inbound applicant pile from any source — your career page, LinkedIn Easy Apply, a job board, your inbox. We score every CV against your job brief and deliver a ranked top 10 with rationale per candidate.

What you receive

Ranked candidate list with fit scores against your brief

Specific rationale per candidate — what stood out, what's weak

Flagged candidates worth a second look despite a weak first read

Excel export sorted, structured, and ready for your team

24–48 hour turnaround Per-role engagement

02 — AI Authenticity Verification

The check that catches what resumes can't.

For shortlisted candidates, we generate verification questions tied to specific claims on their CV and send them a branded recording link. We analyse the voice or video response for coherence, consistency, and real-human signals — then deliver a one-page report.

Each report includes

Coherence assessment — does the answer match the specificity claimed?

Consistency flags — claims contradicted or unsubstantiated by the response

Real-human signals — hesitation patterns, specific jargon, conversational timing

Bottom-line verdict: interview, pass, or dig deeper

24-hour turnaround Per-candidate report

How it works

No software for you to learn.

You forward what you already have. We handle everything between resume submission and the first interview slot.

You forward us the brief and the CVs

Job description plus the resume pile. Email, WhatsApp, or shared folder — whatever you already use.

We screen and shortlist

AI scoring against the brief, with human review of the top candidates. Ranked list back to you in 24–48 hours.

We verify the shortlist

Candidate-specific questions, branded recording links sent to them, voice or video answers analysed.

You get the deliverable

One-page authenticity report per candidate, plus the screening shortlist. You decide who to interview.

Sample output

A one-page report.
Per candidate.

Every report fits on a single page. Scannable in 90 seconds. Decisive enough to act on.

Candidate · A. Khan

Senior ML Engineer · 7 yrs · Reviewed 12 Apr 2026

Interview

Coherence

Match between CV claims and verbal response High

Specificity of technical examples Strong

Consistency flags

Claims contradicted by response None

Claims unsubstantiated by response 1 minor

Real-human signals

Natural hesitation and self-correction Present

Use of specific jargon and tooling Strong

Summary. Candidate's verbal explanation of the recommendation pipeline they led at their previous role is consistent with CV claims and shows strong technical specificity. One minor unsubstantiated claim (cluster size) but doesn't materially affect verdict. Recommend proceeding to interview.