Paste a job description. H-Evaluate composes a fully calibrated, bias-audited assessment in under five minutes — then tests how candidates actually work with AI, not despite it.
Quality gate passed
Structural rules + independent AI judge
Zero setup
No question library to browse
The Hanzomon platform
Hanzomon builds AI-native infrastructure for every stage of hiring — starting with the moment that matters most: knowing who can actually do the job.
AI-generated candidate assessments
Turn any job description into a calibrated, quality-gated assessment in under five minutes. Measure five pillars plus live AI-tool fluency, protect every score with a full integrity engine, and learn from real hire outcomes.
AI-native sourcing & pipeline
The next product in the H-family: intelligent sourcing, screening, and pipeline orchestration that hands H-Evaluate exactly the right candidates — and learns from every hire your organisation makes.
Four steps. No assessment expertise required.
H-Evaluate extracts skills, seniority, and role family — and composes the right assessment automatically.
Tell the engine what the JD didn't say: must-cover skills, topics to skip, context that matters. It shapes generation.
Send invites in any of 6 languages. Candidates get a fair, fresh, proctored assessment — never a recycled test.
Per-pillar scores, integrity flags, and a clear hire recommendation — comparable across every candidate in the cohort.
Every competitor hands you a static library. H-Evaluate generates every assessment from scratch — calibrated to your job description, your seniority band, and your priorities — then proves each question deserves to exist.
AI extraction reads the job description like a senior recruiter: skills, seniority band, role family, and domain — plus your typed priorities for what the JD didn't say.
A composition engine allocates question slots across pillars with weights that lock at the first candidate — guaranteeing every applicant is measured on the same scale.
Questions are anchored to curriculum-grounded concept trees for systematic coverage — not random keyword trivia. A three-tier bank keeps every assessment fresh.
A two-phase quality gate — structural rules plus an independent AI judge — scores every question for correctness, distractor quality, construct validity, and bias before a candidate ever sees it.
The judging model is deliberately different from the generating model. Questions that fail are quarantined for human review — never silently shipped, never silently lost.
The real thing
Not mockups — a live look at the platform.
Assessments, completion, pass rates and priorities — your whole hiring funnel at a glance.
Innovation lab
Seven systems working under every assessment. Select one to see how it works.
Under every assessment runs a durable orchestration layer: specialised agents extract the role, generate questions in parallel, judge quality, localise, and score — every step checkpointed. If an agent fails mid-flight it retries automatically, and a half-built assessment can never ship.
0
steps lost — even on failure
A single modular combo test measures everything that predicts performance — with per-pillar toggles and weights you control.
Reasoning, pattern recognition, and learning agility.
Role-specific knowledge, concept-tree grounded.
Judgment in realistic workplace scenarios.
Work style and collaboration, BARS-scored.
Understanding of modern AI tools and their limits.
Live evaluation of how candidates build with AI.
Any industry. Any role.
The extraction and generation engine classifies every job into industry verticals, functional domains, and role families — so a nurse, a treasury analyst, and a platform engineer each get an assessment that speaks their language.
40+
industry verticals
25+
role families
3
seniority bands, auto-detected
20+
question formats
Not incremental improvements — capabilities that don't exist anywhere else in the market.
Paste a JD, get a fully calibrated assessment in under 5 minutes. No library to browse, no test to assemble.
The only platform that evaluates candidates using AI tools — prompt fluency, judgment, and verification instincts in a live sandbox.
Rubric-backed retries reduce false negatives from test anxiety. Great candidates get a structured second look, not a rejection.
A hard prerequisite, not a score dimension. Candidates below the language bar never reach domain questions.
Weights freeze at the first candidate — guaranteed cross-candidate comparability that no competitor offers.
One real scenario — an incident report, a code block, a financial extract — with 3–5 independently scored decisions. Real work, not trivia.
Domain questions map to curriculum-grounded concept trees for systematic coverage of what the role actually requires.
A freshness guarantee: candidates can't memorise answers, and every draw is deduplicated by content fingerprint.
Every generated question clears structural rules plus an independent AI judge before entering the bank. No competitor publishes any quality gate.
Tell the engine what the JD didn't say — must-cover skills, topics to deprioritise — and it shapes the question set before generation.
The platform learns from actual hire outcomes per organisation, closing the loop between assessment scores and on-the-job performance.
AI answer detection, pattern anomaly analysis, identity verification, and full proctoring — a composite risk score, not guesswork.
The math
A bad hire costs about 30% of first-year salary (U.S. Dept. of Labor estimate). Adjust the numbers for your team.
Estimated annual cost of mis-hires
$135,000
Recoverable with skills-verified hiring
$67,500
assuming better screening halves your mis-hire rate
Estimates for illustration — every organisation differs.
What hiring teams ask us most.
Libraries make every candidate take the same recycled tests. H-Evaluate generates a fresh assessment from your job description — calibrated to the role, seniority, and your own priorities — and every question passes a two-phase quality gate before a candidate sees it. There is nothing to browse, assemble, or maintain.
No credit card. No question library to learn. Paste a job description and watch H-Evaluate build.
Launching soon · early-access cohort now forming