Neural Match v4.2

AI-driven problem solving analysis. Contextual resume mapping that identifies logic over legacy formatting.

  • LinkedIn
  • Indeed
  • Your ATS
  • Past applicants
186matched on skills, location and fit

The problem, and the fix.

The problem

Boolean keyword parsers miss great candidates with non-standard backgrounds. Static matching fails to understand the why behind experience or predict how candidates will actually perform on technical challenges.

The solution

Neural Match v4.2 moves beyond keyword matching to understand the cognitive patterns behind a candidates history. It maps experience against technical architecture logic nodes, predicting problem-solving speed and approach.

How it works.

  1. 1

    Vector embedding captures semantic meaning of experience

  2. 2

    Recursive logic mining identifies problem-solving patterns

  3. 3

    Cognitive skill mapping against role requirements

  4. 4

    Cross-role intelligence surfaces hidden matches

ContributorSkillLanguageVerified
Dr. A. Mensah4.8EN, FR
L. García4.7EN, ES
K. Tanaka4.6EN, JA
M. Okafor4.5EN

What you get

  • Logic-first candidate identification
  • Cross-role intelligence for non-traditional backgrounds
  • Reasoning history logs for every match
  • Semantic understanding beyond keywords

Fits your workflow.

Neural Match integrates with your ATS workflow, analyzing every candidate against role requirements. Matches include detailed reasoning explaining why each candidate fits, enabling confident decisions without manual resume review.

Benefits

  • Surface candidates missed by keyword matching
  • Predict actual job performance, not just experience
  • Reduce time spent manually reviewing resumes
  • Identify hidden talent in non-traditional backgrounds

See it in action.

Book a 20-minute walkthrough tailored to your hiring stack. We'll show you exactly how this capability fits your workflow.

Questions, answered

How is Neural Match different from keyword matching?

Neural Match understands the semantic meaning and cognitive patterns behind experience, not just keyword presence. It predicts how candidates think and solve problems.

What about candidates with non-traditional backgrounds?

Cross-role intelligence specifically identifies candidates whose skills transfer across domains, surfacing talent that keyword matching would miss entirely.

See it on your roles. Shortlist in hours.

  • Free trial credits
  • No card needed
  • Live in 48 hours