A plug and play engine that sits on top of your existing ATS, CV database or hiring workflow - and turns it into a living knowledge graph that reasons, explains, and evolves.
Not just which words appear - but how strong each skill really is, for how many years, and how recently it was used. It understands career stories: a promotion, a switch into a new field, a deliberate retraining. And it knows which technologies belong together, so the person with four years of Kubernetes on Azure surfaces for your Azure role even when their CV never says the word. Every new CV makes the whole picture richer. Every removal is respected - the map adapts.
The agent traverses the graph, fuses it with the semantic layer, and ranks candidates with the full trace attached - every tool call, its timing, its tokens, and a plain-language note on how the answer was made. Recruiters inspect the reasoning instead of trusting the prose.
Interview impressions and CV signals become behavioural embeddings. Clusters reveal which working styles gel as a team - and when a new CV lands, you see exactly where the person belongs. Decided by the AI and the recruiter together, not instead of them.
Your ATS and CV store stay the system of record. The layer drops in as a component and adds the intelligence - on-premises, cloud, or both, with local or hosted models, under the compliance you already run.