Introducing H-Evaluate — hiring for the AI era

AI-generated assessments.
Real hiring signal.
Trusted by design.

Paste a job description. H-Evaluate composes a fully calibrated, bias-audited skills assessment in under five minutes — then tests how candidates actually work with AI, not despite it.

Request early accessSee the AI engine
JD to live assessment
<5 min
JD to live assessment
scored pillars + AI Sandbox
4+1
scored pillars + AI Sandbox
questions pass a quality gate
100%
questions pass a quality gate
libraries to browse
0
libraries to browse
h-evaluate — assessment generator
  • ●Parsing job descriptionsenior-backend-engineer.pdf
  • ○Extracting skills & seniority
  • ○Composing pillar weights
  • ○Generating calibrated questions
  • ○Running quality gate
  • ○Assessment ready

Quality gate passed

Structural rules + independent AI judge

Zero setup

No question library to browse

  • Zero-setup AI assessments
  • AI Sandbox
  • SURE structured retry
  • Hard language gate
  • Locked pillar weights
  • Vignette sets
  • Concept-tree coverage
  • Three-tier question bank
  • AI quality gate
  • Quality-of-Hire loop
  • Recruiter generation brief
  • Fraud & integrity suite

The Hanzomon platform

One platform. The whole hiring signal.

Hanzomon builds AI-native infrastructure for every stage of hiring — starting with the moment that matters most: AI-generated candidate evaluation before the first interview.

Flagship — available now

H-Evaluate

AI-generated candidate assessments

Turn any job description into a calibrated, quality-gated assessment in under five minutes. Score four core pillars, add a live AI Sandbox, check AI fluency and language against the bar you set, protect every score with a full integrity engine, and learn from real hire outcomes.

  • Zero setup — no question library to browse or maintain
  • Every question passes an automated two-phase quality gate
  • Assessments generated natively in 6 languages
Explore H-Evaluate
Coming soon

H-Recruit

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.

Get notified at launch

From job description to decision

Four steps. No assessment expertise required.

  1. 1

    Paste the JD

    H-Evaluate extracts skills, seniority, and role family — and composes the right assessment automatically.

  2. 2

    Add your brief

    Tell the engine what the JD didn't say: must-cover skills, topics to skip, context that matters. It shapes generation.

  3. 3

    Invite candidates

    Send invites in any of 6 languages. Candidates get a fair, fresh, proctored assessment — never a recycled test.

  4. 4

    Act on the evaluation

    Per-pillar scores, integrity flags, and a clear hire recommendation — your full candidate evaluation, comparable across every applicant in the cohort.

An AI engine, not a question library

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 puts every question through a two-phase quality gate before any candidate sees it.

01

Understands the role

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.

02

Composes the assessment

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.

03

Generates from concept trees

Questions are anchored to curriculum-grounded concept trees for systematic coverage — not random keyword trivia. A three-tier bank keeps every assessment fresh.

04

Judges its own work

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.

Generate-then-validate, by design

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

See H-Evaluate in action

Not mockups — a live look at the platform.

hevaluate.hanzomon.ai
Recorded from the live product — Live product tour — dashboard, job pipelines, and the AI review queue.
hevaluate.hanzomon.ai
Recruiter dashboard

Assessments, completion, pass rates and priorities — your whole hiring funnel at a glance.

Innovation lab

Engineering you can't get anywhere else

Seven systems working under every assessment. Select one to see how it works.

Orchestrator
Extract
Generate
Judge
Auto-retry
Localise
Score
Ready
Every step checkpointed

A workforce of AI agents, not one big model

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

Four scored pillars. One decision-ready score.

One modular assessment across four scored pillars — cognitive, domain, situational and behavioural — with an optional AI Sandbox as a fifth scored component. AI fluency and language are requirement checks you set, kept out of the score. Per-pillar toggles and weights you control.

Cognitive

Reasoning, pattern recognition, and learning agility.

Domain

Role-specific knowledge, concept-tree grounded.

Situational

Judgement in realistic workplace scenarios.

Behavioural

Work style and collaboration, BARS-scored.

AI Fluency

A requirement check, not a score: how well candidates understand modern AI tools and their limits.

AI Sandbox

Optional fifth scored component: live evaluation of how candidates build with AI.

Any industry. Any role.

Not a tech-hiring tool. A hiring engine.

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.

  • Technology
  • Healthcare
  • Finance
  • Fintech
  • Retail
  • Manufacturing
  • Legal
  • Government
  • Education
  • Energy
  • Logistics
  • Hospitality
  • Media
  • Insurance
  • Biotech
  • Gaming
  • Construction
  • Telecom
  • + 24 more
  • Engineering
  • Sales
  • Marketing
  • Product
  • Operations
  • HR & People
  • Customer Success
  • Data & Analytics
  • Supply Chain
  • Creative
  • Executive
  • Research

40+

industry verticals

25+

role families

3

seniority bands, auto-detected

20+

question formats

Assessment features no one else has

Not incremental improvements — capabilities that exist in AI-generated assessments and nowhere else in the market.

Zero-setup AI assessments

Paste a JD, get a fully calibrated assessment in under 5 minutes. No library to browse, no test to assemble.

AI Sandbox

The only platform that tests candidates in a live AI Sandbox — prompt fluency, judgement, and verification instincts measured with real AI tools, not recall.

SURE structured retry

Rubric-backed retries reduce false negatives from test anxiety. Great candidates get a structured second look, not a rejection.

Language gate

A hard requirement, not a score dimension. Candidates below the required language level don't advance; unclear results go to human review.

Locked pillar weights

Weights freeze at the first candidate — guaranteed cross-candidate comparability that no competitor offers.

Vignette sets

One real scenario — an incident report, a code block, a financial extract — with 3–5 independently scored decisions. Real work, not trivia.

Concept-tree questions

Domain questions map to curriculum-grounded concept trees for systematic coverage of what the role actually requires.

Three-tier question bank

A freshness guarantee: candidates can't memorise answers, and every draw is deduplicated by content fingerprint.

Automated quality gate

Every generated question clears structural rules plus an independent AI judge before entering the bank. No competitor publishes any quality gate.

Recruiter generation brief

Tell the engine what the JD didn't say — must-cover skills, topics to deprioritise — and it shapes the question set before generation.

Quality-of-Hire loop

The platform learns from actual hire outcomes per organisation, closing the loop between assessment scores and on-the-job performance.

Fraud & integrity suite

AI answer detection, pattern anomaly analysis, identity verification, and full proctoring — a composite risk score, not guesswork.

Explore all features

The math

What are mis-hires costing you?

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.

Questions, answered

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.

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See your first AI-generated assessment in 5 minutes

No credit card. No question library to learn. Paste a job description and watch H-Evaluate build.

Launching soon · early-access cohort now forming