A 3-stage AI pipeline that ranks, reasons, and recommends candidates — so your recruitment team focuses on conversations, not spreadsheets.
Most tools run a single keyword scan. This platform runs three increasingly deep layers of analysis — giving you a score you can explain, defend, and improve.
Matches must-have skills, experience, and education against the JD. Every candidate gets a transparent, auditable breakdown.
Uses language embeddings to compare the full CV against the job description — catching relevant experience even when keywords differ.
A large language model reads each CV and JD together, generates a hiring signal, surfaces evidence gaps, and suggests interview questions.
No more "maybe" piles. Each candidate receives a signal that tells your team exactly what to do next.
Adjust how much experience, skills, and education count per role.
Compare any two candidates head-to-head across all dimensions.
Record interview and hiring results. The model learns over time.
Track how accurately signals predicted real outcomes.
Every score is explainable — see exactly what the AI reasoned.
Every pipeline run is saved. Return to any previous search.
Generic screening tools struggle with local qualification structures, CV formats, and context. This tool is designed specifically for South African recruitment workflows.
Screen high volumes of CVs faster and produce more structured shortlists.
Review candidate recommendations with evidence and score breakdowns.
Improve screening consistency, governance, and auditability across hiring rounds.
Use a screening tool designed around local qualifications, formats, and recruitment context.
See how the tool helps recruitment teams move from manual CV review to structured, explainable shortlists.