Flagship feature
Every match comes with its evidence
Most matching is a black box: a score with no explanation. Ours is deterministic and evidence-based — you see the strengths, the gaps, and exactly what in the candidate's record supports each one.
See it in action
A match, fully explained
Senior Frontend Engineer
Match for Priya S.
Strengths
- 5 years React & TypeScript at scale
- Led a 4-engineer team
- Strong system design signal
Gaps
- No direct GraphQL experience listed
Evidence
- Resume: “Scaled checkout to 40k req/s”
- Screening: scored 9/10 on system design
How it works
Built to be explainable from the ground up
Deterministic scoring
The same job and candidate produce the same score, every time — nothing probabilistic hiding the reasoning.
Evidence-linked
Every point on the score traces back to a line in the resume, a screening answer, or an assessment result.
Strengths and gaps, both shown
A high score doesn't hide the gaps, and a lower score doesn't hide the strengths. You see the whole picture.
Our fairness stance
A score you can defend
No protected attributes
Scoring never uses race, gender, age, or other protected characteristics — inputs are skills, experience, and role fit.
Consistent criteria
Every candidate for a role is scored against the same structured job profile — no ad hoc rubrics per reviewer.
AI supplements, humans decide
Matching narrows and explains — it never auto-rejects or auto-hires. The decision is always a person's.
Questions
Frequently asked
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