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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

1

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.

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Findem sources candidates from across the web based on skills and career signals — qualified candidates flow into Greenhouse

2

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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This entire stack is MCP compatible

MCP (Model Context Protocol) is an open standard that enables AI agents to connect natively. All agents in this stack support MCP, enabling native agent-to-agent connections without manual data handoffs.

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