Step 01
Parse
Extract skill requirements and context from requisition data.
Score and rank candidates against role requirements with transparent signals hiring managers and compliance teams can audit.
Explainable AI
Visible skill overlap signals
Configurable Rules
Weights by role type
Semantic match scores
Why semantic matching
Matching engine
Every match score backed by visible skill overlap, gap analysis, and configurable enterprise rules.
From requisition requirements to ranked, explainable shortlists.
Step 01
Extract skill requirements and context from requisition data.
Step 02
Semantic analysis of resumes against role requirements.
Step 03
Generate weighted scores with visible overlap signals.
Step 04
Recruiters validate, provide feedback, and refine rankings.
98% Match Quality
On validated shortlists
Audit-Ready
Explainability exports
Fewer False Positives
Higher shortlist precision
HM Alignment
Shared match language
Feedback Learning
Improves over time
InsyghtAI Hub
Integrations
Matching scores appear at search, pipeline, and copilot touchpoints.
Score API
Feedback Loops
Custom Weights
Export Logs
Why InsyghtAI
InsyghtAI delivers semantic matching with visible skill overlap, gap analysis, and configurable ranking weights by role type.
Higher shortlist quality with fewer false positives
Audit-friendly match explanations for enterprise governance
Faster consensus between recruiters and hiring managers
See explainable semantic matching in a demo with your role types and requirements.