
Describe the role in plain language or drop the job description. Revcenter compiles it into a search plan — title variants, seniority, geography, must-haves — and runs it across LinkedIn and your existing pool before spending a credit.

Every candidate is scored against the brief, not keyword-matched. Hard gates return a reason code — YEARS_OUT, SKILL_MISSING — so a rejection is explainable, and soft signals adjust the score instead of silently dropping people.

The same scoring engine your team uses in the app, available over a REST API and an MCP server. Wire it into your own tools, or let Claude and ChatGPT run calibrated searches directly.

Push sourced, scored candidates straight into the ATS your team already runs. Revcenter fits the stack rather than asking you to leave it.