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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
Findem logo
FindemMCP server

Attribute-based candidate sourcing across the web

AI talent intelligence with attribute-based search over a 3D career-history model, plus Findem Agents and a published MCP server. Nine ATS integrations. Quote-only pricing.

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

2
Greenhouse logo
GreenhouseMCP server

Structured interview pipeline and hiring workflow

Enterprise ATS with structured interviewing, AI recruiting and onboarding. Core, Plus and Pro plans, all quote-only. MCP server in open beta for approved AI tools.

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Every agent in this stack exposes an MCP server

MCP (Model Context Protocol) is an open standard for connecting AI agents to tools and data. Because each agent here publishes its own MCP server, an assistant or orchestrator can connect into every step of this stack directly, without custom API glue.

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