Talent Sourcing Stack
Findem uses attribute-based AI search to find candidates across the entire web — not just job boards — identifying people based on skills, career trajectory, and signals that indicate they might be open to a move. Those sourced candidates flow into Greenhouse where recruiters manage structured interview pipelines, scorecards, and offers. Findem fills the top of the funnel with candidates traditional sourcing misses; Greenhouse manages the process from there.
The workflow — 2 agents in sequence
Attribute-based candidate sourcing across the web
AI talent intelligence platform with attribute-based search, 3D data model, and Findem Agents. Integrates with Greenhouse, Workday, SAP SuccessFactors, Lever, Ashby, iCIMS, and more. Custom pricing.
Findem sources candidates from across the web based on skills and career signals — qualified candidates flow into Greenhouse
Structured interview pipeline and hiring workflow
Enterprise-standard ATS with AI recruiting, structured interviewing, and onboarding. Core, Plus, and Pro plans with custom pricing. 110+ G2-verified integrations. MCP launching June 2026.
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MCP (Model Context Protocol) is an open standard for connecting AI agents to tools and data. These agents act as MCP clients: they connect out to external MCP servers to use their tools, but they do not expose servers of their own. That means they cannot be driven by another agent through MCP, and the steps between them still need conventional integration.
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