A complete, resume-free hiring platform
From proving skills to a consented hire — every step is verified, anonymous-first, fair, and auditable.
Everything hiring needs, rebuilt around proof
Eight capabilities work together to make hiring verified, anonymous-first, fair, and fast.
Verified skills profile
A cheat-resistant assessment replaces the résumé with a portable, verified composite score.
Anonymous-first
Candidates are evaluated on skills only; identity is revealed on mutual consent.
Blind ranking
Composite-score ranking on ability — no name, photo, school, or employer in the mix.
Human-in-the-loop
AI recommends and explains; a person makes — and is recorded for — every decision.
Zero-ghosting
Every applicant gets a growth-framed report card. The word “rejected” never appears.
Integrity layer
Identity assurance plus originality and behavior signals route risk to a human, never an auto-fail.
Compliance-native
Audit-ready for the EU AI Act, NYC LL 144, EEOC, and UAE Emiratization by design.
Open & integrated
REST API, webhooks, SSO, and ATS sync — with privacy boundaries that hold across integrations.
A verified skills profile, not a résumé
Candidates take one AI-generated, cheat-resistant assessment — a skills test plus a text interview under the integrity layer — and earn a composite score from test, interview, and role-fit. It is explainable, time-stamped, valid for 90 days, and portable across every application.
- Default weighting Test 40 / Interview 35 / Role-fit 25, adjustable per role
- Freshness badge and a 30-day retake cooldown
- No “résumé match” component — ever
Verified skills score
Valid 90 days · portable
Top 8% this weekAnonymous until you both decide
Every candidate is born anonymous. Employers see verified scores and skills — never a name, photo, age, school, or past employer. Identity and right-to-work details unlock only when an employer advances a candidate and the candidate consents, for that one employer, logged immutably.
- Opaque candidate handles, never derived from PII
- Consented, per-employer reveal at allowed stages
- Every reveal recorded in an immutable ledger
- 94Candidate A7F3
- 91Candidate C2K9
- 88Candidate B4M1
Ranked by ability, decided by a human
Verified candidates are ranked on a composite score you can shape. Below-threshold applicants are flagged for human review — never auto-rejected. AI recommends and explains; a person makes the call and is recorded against it, satisfying human-oversight requirements.
- No code path can auto-reject a candidate
- Custom composite-score weights per role
- Explainable recommendations tied to the deciding human
- Strong: React, TypeScript
- Grow: system-design depth
- Next: a tailored practice set
No PII ever reaches a model
Anonymity is a hard architectural boundary, not a setting. Personal information is stripped before any AI sees a candidate, across scoring, the text interview, and ranking. The integrity layer measures originality and behavior signals — never invasive webcam proctoring.
- PII stripped at a hard boundary before any model
- Text-only AI interview; video is human-only
- Config-driven, swappable AI providers per task
Enterprise-grade under the hood
The controls and infrastructure that make verified, anonymous-first hiring production-ready.
Multi-region & residency
Pin data to the EU, India, or the UAE to meet GDPR, DPDP, and PDPL.
SAML SSO & scoped roles
Single sign-on, SCIM, IP allow-listing, and RBAC + ABAC enforced server-side.
API, webhooks & ATS
Automate hiring from your stack; identity syncs only after a consented reveal.
Audit & compliance console
Immutable logs, bias-audit exports, and Emiratization quota reporting.
Fast & accessible
Pre-rendered, Core-Web-Vitals-tuned pages with AA accessibility throughout.
Notifications & email
Reliable, templated transactional email with consented marketing only.
Feature questions, answered
How the verified, anonymous-first model works in practice.
How is the verified skills score calculated?
How do you keep assessments cheat-resistant without invasive proctoring?
Can the platform reject candidates automatically?
When is a candidate’s identity revealed?
Which integrations are available?
Why the platform works this way
The reasoning behind verified skills, blind evaluation and assessment integrity.
What skills-based hiring actually is (and what it is not)
Skills-based hiring decides on demonstrated ability, not proxies like degrees or job titles. What it means in practice and where it fails.
ReadBlind hiring: what the evidence supports, and what it does not
Blind hiring has one of the cleanest natural experiments in labour economics behind it, and real limits. What it fixes, and what it cannot.
ReadCandidates are using AI in your assessments. Now what?
AI-text detectors are unreliable and disproportionately flag non-native speakers. What to do instead: assessment design, signals and human review.
ReadDoes your assessment predict anything? Validity for non-specialists
An assessment that feels rigorous can predict nothing. What validity and reliability mean, how to check yours, and the four ways hiring tests quietly break.
ReadSee it on your hiring
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