One system that sources, screens, matches, and verifies — end to end, with controls, auditability, and a human in the loop.
From the first signal to the verified offer, every stage runs on one living talent graph — so intelligence compounds instead of leaking between disconnected point solutions.
Every candidate becomes a node enriched with verified skills and trajectory. The model surfaces fit across your whole network — including the people a boolean search would never reach.
Each match ships with an explainable scorecard: the signals that mattered, the credentials verified, and the next thing worth checking. No black box, no blind trust.
Behavioral and credential checks run inline; biometric modalities flag for human review rather than fabricating a verdict. Confidence at scale, never at the cost of fairness.
Intelligence is only useful if you can defend it. Every layer is built for explainability, review, and accountability — by design, not as an afterthought.
Configurable guardrails on every model decision, with adverse-impact monitoring you can audit by stage.
Every rank, nudge, and automation is logged with its inputs and rationale — reproducible and exportable.
Consequential actions pause for review. The model recommends; a person decides where it matters.
Candidate data is consented, scoped, and revocable. Verification flags for review rather than fabricating verdicts.
Resumes, profiles, and signals flow into one structured talent graph — parsed, deduped, and consented.
Skills are inferred and verified, trajectories modeled, and every node enriched with evidence — not guesses.
The model ranks fit with an explainable scorecard: why this person, why now, and what to check next.
Outreach, scheduling, and handoffs trigger automatically — with a human reviewing every consequential decision.
Bring AI to the whole hiring loop — sourcing to verified offer — with the controls to stand behind every decision.