Talent Intelligence

Search fans out.

One query dispatches several search angles at once, merged into a single ranked list. A brief gets read more than one way before anything is ranked.

Bounded by design.

Every match is judged against a fixed set of explicit criteria, never a vague blend. A requirement is not a checkbox: each one is weighed on its own, scored, and explained.

No free-form actions.

The system acts on what it finds, and every action it takes runs through a typed, schema-validated tool layer.

Refreshed, not imported.

Real candidate, company and job records, structured in layers that each update on their own cadence. Nothing rots waiting for someone to upload a list.

Corrected by the people in it.

The people a record describes are the ones who correct it. Candidates fix their own, and the fix wins on every future read.

One record, both sides.

The recruiter and the candidate read the same profile, one record across both sides of the hiring relationship. No copies drifting apart.

Every call, logged.

Each AI call is recorded with the exact model behind it, its token count, and its cost. Every decision on either side becomes part of that permanent record.

Scoped, not trusted.

Every request is checked against your workspace on the server, never taken on faith from the browser.

Built to be replayed.

Evaluation records are versioned by brief and candidate, designed from the data model up to be reconstructed months later and hold up under scrutiny.