Not a stack of CVs. A scorecard for every candidate.
An ATS gives you a system to run. A job board gives you volume. A recruiter gives you a shortlist and an invoice. You get a shortlist of interview-ready candidates, and for each one, a complete record you can decide from. AI does the work. You make the call.
The candidate scorecard has five layers
Each layer is produced by a feature you can read about in detail. Together they are the one thing no ATS, job board, or recruiter assembles for you: everything you need to decide on a candidate, in one place.
- 01
A rich profile
Skills with proficiency and recency, seniority, a dated work history, 4 to 8 quantified achievements, location, values, and salary expectations. Parsed from any CV, in 100+ languages.
AI Candidate Profiles - 02
A defensible match
One fit score across 8 signals: direct skills, transferable skills, semantic similarity, experience, seniority and trajectory, location and work type, values, and salary. With requirements coverage, the skills matched and missing, and the reasons in plain language.
AI Candidate Matching - 03
An interview playbook
The specific gaps to probe for that candidate, ready before the call. You walk in knowing exactly what to test, instead of asking the same generic questions of everyone.
AI Candidate Matching - 04
A preparation signal
When the candidate practises on the real role, they are scored on it, so they arrive prepared and you see how they perform, not just how they read on paper.
AI Mock Interviews - 05
A record after the call
An executive summary, fit insights, action items, and sentiment, captured automatically. The decision is documented, not lost in someone's notes.
AI Interview Notes