AI hiring intelligence for technical roles

Every match comes with a reason — not just a score.

LLMs extract the signal. Your rules make the decision. Humans stay in control.

Explainable scores Skills-first taxonomy Recruiter-controlled weights
Hiring decision brief
Senior Data Engineer
Illustrative view
Deterministic score
84/100
AI assessment
Strong
Near Miss
Skill coverage
PresentPython · SQL · Data modeling
ImpliedCloud pipelines · Orchestration
MissingStreaming at scale
AI comparison summary

Strong data engineering fundamentals. Cloud orchestration appears through adjacent project evidence; large-scale streaming experience needs verification.

Try a match

Upload one JD and one resume. Hyreblock will extract both and run the same matching pipeline used in the product.

3 of 3 free runs remaining
Tune the match before running

Set what matters most for this role. These weights are sent with your demo match.

Total: 100 / 100
Private workspace
Your files and matching data stay in your Hyreblock workspace.
BETA

Hyreblock is in early access

We’re continuously improving the platform. Initial model loading or document processing may take longer than expected. Thank you for your patience.

The decision pipeline

From documents to a decision you can explain.

A transparent sequence of extraction, role mapping, deterministic scoring and AI-assisted comparison—not a vague match label.

01

Extract

Structure job and resume facts

02

Normalize

Clean skills, dates and experience

03

Map the role

Connect to industry role taxonomy

04

Score + reason

Combine deterministic signals and AI reasoning

05

Compare

Summarize fit, gaps and evidence

Role intelligence

A real role taxonomy beats a vague AI answer.

Map each job to an industry-aligned role, family and sub-family. That context helps distinguish adjacent experience from a true domain mismatch—and makes the reasoning easier to audit.

Industry → Role family → Sub-family → Role
Industry
Technology
Role family
Data & Analytics
Sub-family
Data Engineering
Mapped role
Senior Data Engineer
Why the mapping matters

“Python” alone is not a role. Taxonomy adds job context, so similar skills can be evaluated against the right family and sub-family rather than returned as an unexplained similarity score.

Decision intelligence

See the evidence. Tune what matters.

Give recruiters control over how a role is evaluated, then compare candidates on the same criteria.

Two score lenses

Review deterministic and AI scores together, with a readable comparison summary.

Skills coverage

Separate skills explicitly present, reasonably implied and missing from the evidence.

AI-powered buckets

Group candidates as Ideal, Near Miss or Wrong Domain to prioritize recruiter attention.

AI comparison summary

Understand the strongest fit signals, meaningful gaps and what needs verification.

Custom weights

Prioritize skills, experience, domain fit and other supported signals for each hiring context.

Taxonomy profiles

Use role-specific taxonomy profiles to change which industry skills and adjacent roles matter.

Private by design.

Recruiter trust starts with clear boundaries around candidate data.

No public-chat workflow

Candidate data is processed through Hyreblock's configured backend—not pasted into public ChatGPT or Claude chats for manual review.

Make the decision clearer

Less resume skimming. More defensible hiring decisions.

Start with one job description and one resume. See the skill signals and reasoning side by side.

Try a match