elev8
Hire the Truth.We verify technical, functional and domain competencies and accomplishments of a candidate, before your first conversation.
You are hiring on a hunch and unverified evidences.
Résumésare no longer self-authored. A tailored résumé takes 60 seconds to generate. 47% of candidates admit to embellishing qualifications. AI has made this effortless and scalable.
Interviewsscore rehearsal, not performance. Candidates now receive real-time AI coaching during video interviews. The interview is no longer measuring the candidate — it measures how well they prepared to be measured.
Referencesare selection bias, not a check. Candidate-selected. Conducted after weeks of company investment. Rarely candid. The process hasn't changed. The risk underneath it has.
You cannot answer "is this true?" from a résumé, a screen, or a reference the candidate selected. Elev8 answers it — before the interview, not during it.

How It Works

A pre-interview trust platform — built on what candidates actually delivered.
Verification EngineA candidate documents a specific accomplishment — what they delivered, at which company, in which date range. Two peers confirm it. A leader confirms it. Independently. Employment overlap and company membership are authenticated before any confirmation counts.

AI can generate a résumé. It cannot generate those human confirmations from real professional relationships.
Matching EngineFive-predictor scoring — Role Fit, Delivery, Character, Career Path, and Learning — run against your specific job requirements. Weights shift by career level. Every score opens into its evidence.

Skills are roughly 20% of whether a hire succeeds. The other 80% — how someone delivers, learns, and works with people — is what we score. Every number traces back to the people and outcomes that produced it.

What You See

A ranked shortlist — with the evidence behind every score.Three profiles. Each one scored before your first recruiter hour is spent.
Maya Chen
Maya ChenStaff Software Engineer6 years · Fintech

Tier 1 · Verified

Applying for

Principal Engineer — Platform Infrastructure

5-Predictor Score

Verified

Claimed

Role Fit

Strong Fit

Delivery

Demonstrated

Character

Endorsed

Career Path

Growing

Learning

Well-Rounded

score360

84/100

Org-wide delivery scope · 4 verified accomplishments

Why You Can Trust What You See

The evidence is built to hold up — structurally, not by policy.

Verified vs. Claimed

The line no other platform draws.Every signal is labeled. A candidate who submits only a résumé is still scored — but you see exactly how much of their score is verified by real colleagues and how much is self-reported. The distinction is always visible. Two candidates with the same score are not the same candidate.

Honest Reviews

Anonymous. Authenticated. From people who were there.Peer and leader reviews each contribute independently to a candidate's full picture. No single reviewer shapes the outcome — the score draws from multiple authenticated voices, each evaluated separately. That independence is what keeps any one biased perspective from tipping the scale.

Full Audit Trail

Every score traces to its source.Behind every predictor sits the exact accomplishment and the exact people who confirmed it. Defensible to any hiring committee, legal team, or external auditor. Not a black-box number you're asked to trust.

No Prestige Bias

Scored on what they did. Not where they did it.Employer name, school, and job title are not inputs to any score. Whether a candidate built their career at a household brand or an unknown firm, their record is evaluated solely on what they delivered and who confirmed it.

Regulatory Compliance

Built for the laws governing AI in hiring — from the ground up.As AI hiring tools face increasing regulatory scrutiny, Elev8 is designed to meet — not retrofit for — the standards enterprise procurement now requires.

NYC · Local Law 144

Automated Employment Decision Tool Act
Requires independent bias auditing, public disclosure of results, and candidate notice before any AI scoring tool is used for NYC-based roles. Our bias audit documentation is complete, synthetic matched-pair tests pass across all protected-class vectors, and source code is available for independent auditor review.

What we built — not retrofitted

No protected-class signals in any scoring model
Employment gaps carry zero weight on career scoring
Prestige inference removed — employer name and school are not scoring inputs
LLM sentiment proactively excluded — known to introduce national-origin bias in cross-cultural review text
Anonymous reviews — no demographic data enters the scoring pipeline
Every verification requires authenticated professional relationships — employment overlap confirmed before any confirmation counts
Stop hiring on hunch.Bring us a role you're hiring for. We'll show you what a verified shortlist looks like against it.