Think of Findem as a supercharged hiring detective that scans millions of public signals about people and turns them into a short, qualified list of candidates who actually match what you need—skills, experience, and diversity goals—before your recruiters ever start manual sourcing.
Traditional recruiting is slow, reactive, and heavily manual. Companies struggle to find qualified and diverse candidates, keep up with shifting workforce trends, and prioritize roles effectively. Findem uses AI-driven talent intelligence to automate sourcing, improve pipeline quality, and give TA leaders data on markets, DEI, and hiring performance.
Proprietary aggregation and normalization of talent signals (from public and internal data), combined with TA workflows and benchmarks that become sticky inside HR stacks.
Hybrid
Vector Search
Medium (Integration logic)
Context window and retrieval cost for large talent graphs and complex multi-attribute candidate searches.
Early Majority
Positions itself as a talent intelligence and AI recruiting layer focused on multi-attribute candidate matching and workforce/talent insights—beyond simple resume matching or CRM—while integrating DEI and market intelligence into TA decision-making.