This is like a super-powered hiring and talent map for your company: it scans millions of profiles and your internal data to suggest the best people to hire, promote, or reskill, instead of relying on manual resume review and gut feel.
Reduces time and cost to hire, improves quality of candidates, and helps companies retain and redeploy existing employees by using AI to match people to roles, internal moves, and learning paths at scale.
Proprietary, large-scale talent and skills graph built from many millions of profiles and customer data, deeply embedded in HR workflows (ATS, HCM, CRM) with switching costs and historical performance data that continuously refine the models.
Hybrid
Vector Search
High (Custom Models/Infra)
Model inference cost and latency at large hiring volumes; continuous ingestion and normalization of heterogeneous HR data (resumes, profiles, HRIS) at global scale; regulatory and data-privacy constraints across regions.
Early Majority
Positioned as a broad “talent intelligence” layer focused on skills and potential rather than only requisition-based recruiting; strong emphasis on a single skills/talent graph powering recruiting, internal mobility, and workforce planning, rather than point solutions for only ATS or CRM.