pegarecruiter doesn't replace your HR systems — it amplifies them. The intelligence layer reads from every data source in your HRMS, synthesizes signals in real time, and writes explainable decisions back into the tools your team already uses.
pegarecruiter operates as a persistent intelligence layer — constantly reading from your HRMS ecosystem, reasoning over live signals, and returning actionable outputs back into the same systems your team uses daily.
pegarecruiter acts as the intelligence backbone — reading from and writing back into every system in your HR technology ecosystem, without replacing any of them.
Each module handles a distinct intelligence domain. They run in parallel on every candidate evaluation and their outputs are assembled by the Confidence Aggregator into a single, explainable result.
For every system in your HR stack, here's exactly how pegarecruiter connects, what data it reads, what intelligence it applies, and what it returns — with no black boxes.
Most AI hiring tools are static. pegarecruiter runs a continuous learning loop — connecting hiring decisions to performance outcomes and feeding that signal back into the model weekly. Your context improves the intelligence for your specific org.
Connect your HRMS in minutes. No data science team needed. No model training required. Intelligence starts flowing on day one.