How our AI works
Nukhba's AI screens, matches, and interviews using your rubric. It doesn't decide — it recommends. Every recommendation is auditable and reversible.
Everything you need to run this end-to-end
- Retrieval-augmented scoring against your JD rubric
- No black-box decisions — every score has a rationale
- Human review required at every consequential step
- Model updates published in the customer changelog
Nukhba's AI screens, matches and interviews using retrieval-augmented scoring against your JD rubric. It is grounded, explainable, and always advisory — never authoritative.
Every score cites its evidence. Every override is logged. Every model update is announced in the customer changelog before it ships to production.
Three steps, always in this order
Ground in the JD
The rubric is derived from the requisition you approved — not from a black-box embedding of past hires.
Score with evidence
Each criterion returns a score with the specific evidence that supported it, and the gaps that lowered it.
Route to a human
Consequential steps — reject, invite, offer — always require a human decision. The AI drafts, the recruiter decides.
What buyers ask most
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