Stop guessing
from résumés.
See how they think.
Every candidate — engineering, product, data, design, or any role you hire for — faces the same interactive challenge and solves it by directing an AI, exactly how the work is done now. You judge the work, not the wording.
AI structures the evidence and surfaces the signal. People make the call — Calibre never accepts, rejects, or ranks a candidate on its own.
The CV and cover letter just stopped meaning anything.
When every application is written by the same handful of AI tools, the document tells you about the tool — not the person. Calibre measures what's left that's hard to fake: how someone actually works when you hand them a real problem.
The cover letter is dead — and AI killed it.
“De sollicitatiebrief is dood, en AI heeft hem vermoord”
Keep your pipeline. Replace the part that's guesswork.
Your existing tools, your sourcing, your final interviews all stay exactly as they are. Calibre drops in right after the CV screen: every shortlisted candidate runs the same interactive challenge, and you get back a ranked shortlist backed by evidence — not another stack of résumés to re-read.
The two blue steps happen in Calibre. Everything before and after stays exactly where it works today — candidates stay anonymous, and the link-to-person mapping never leaves your side.
What those two steps actually look like.
Built for everyone in the room.
No names. No emails. No PII to govern.
Every candidate is an opaque link token. Your organisation keeps the link-to-person mapping on its own side; Calibre holds the assessment, not the identity — which turns a long security review into a short one.
AI assists. People decide. Every call is on the record.
Evaluating candidates with AI is high-risk under the EU AI Act — regulated, not banned. Calibre is built around the safeguards it expects: a named reviewer makes every decision, and the rubric, transcript, and notes form an exportable trail. It never decides on its own — and because assessments are anonymous and text-only, there's no emotion inference, biometrics, or social scoring in the picture.
Built around the Act's oversight, transparency, and auditability safeguards. Informational, not legal advice; full compliance depends on how you deploy it.
- ✕ Auto-accepts or rejects candidates
- ✕ Infers emotion or uses biometrics
- ✕ Hides the scoring criteria from your team
Built by the team behind Paddoq — we ship small, focused AI tools; Calibre is our take on hiring. No customer logos yet — we're early. Judge the product, not a case study.
See a sample scored report ↓€10 per assessment. That's the whole price list.
No seats, no subscriptions, no sales call required. Buy prepaid credits and spend them as you go — top up your wallet and start testing in minutes.
Buy credits & start →- ✓ Prepaid credits — pay as you go
- ✓ No subscription, no per-seat fees
- ✓ Scenario drafting & AI scoring included
- ✓ Buy a few credits and test it first
Questions we get asked first.
What stops a candidate from cheating, or having someone else do it?
The assessment is one evidence point, not a lockdown exam — Calibre isn't hardened anti-cheat. It flags behavioural signals (tab-switching, large pastes) as risk hints for a human to review, never as an automatic verdict. Identity gets verified where it actually matters: in the interview, when the person walks you through the same problem they just solved.
What exactly does €10 cover?
One candidate, one full multi-stage assessment — scenario generation, the candidate's AI-directed chat, and scoring are all included. No per-token add-ons, no surprise usage bill.
What candidate data do you hold, and for how long?
None that identifies anyone. Candidates are opaque link tokens — your org keeps the token-to-person mapping on its own side. Deleting a campaign or candidate cascades to its session, transcript, and evaluations.
Which AI model do you use — does it train on our data?
Anthropic's API powers scenario generation and scoring. Anthropic's API terms state they don't train on API data by default, and we don't train anything on your content either. See our Privacy Policy for the full list of sub-processors.
Which roles and languages does it support?
Any role you can brief — scenarios are authored fresh per campaign, not picked from a fixed engineering-only library. The dashboard and built-in scenarios are in English today; since the candidate's AI partner is a general-purpose model, most candidates can also work with it in their own language.
Is it accessible?
It's a text-first, keyboard-driven browser flow — no webcam, no proprietary lockdown browser. We haven't run an independent WCAG audit yet; if a candidate needs an accommodation (extra time, an alternative format), tell us via the contact form and we'll arrange it by hand.
What happens if the candidate's time runs out?
The stage auto-submits at zero and scores whatever they'd written so far — nothing is lost, and there's no penalty beyond the incomplete work itself.
Questions? Say hello.
Tell us about the roles you hire for and what you want to measure. We read every message and reply personally — usually within a day.