| Primary operating problem | Gives talent teams a shared intelligence foundation for sourcing, hiring, executive search, verified evaluation, mobility, analytics, and workforce decisions. | Captures and structures recruiting conversations, then extends that shared hiring context into sourcing, application review, adaptive candidate screening, reports, and autonomous pipeline execution. |
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| Core data foundation | Continuously refreshes context across people, companies, careers, and relationships over time, spanning 800M+ people, 100K+ sources, and 300,000+ searchable attributes. | Builds context from recorded conversations, transcripts, meeting chat, uploaded files, ATS metadata, intake material, user criteria, and agent feedback. |
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| External and warm-channel discovery | Searches external talent alongside inbound, ATS, CRM, referrals, employee connections, alumni, and internal candidates in one contextual view. | Sourcing searches the web, accepts JDs, resumes, interviews, natural language, and past candidates; new workflows include referrals, talent mapping, and market mapping. |
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| ATS rediscovery | Enriches and refreshes prior applicants at attribute depth, deduplicates records, and evaluates ATS talent alongside every other sourcing channel. | Current Workday integration searches existing tenant candidates, ranks past applicants by fit, and syncs newly sourced candidates back to the ATS. |
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| Inbound review and screening | Prioritizes inbound applicants using shared role criteria and refreshed candidate context, then compares them with every other sourcing channel. | Application Review evaluates inbound applications against customer-defined criteria and shows reasoning; Screening can add adaptive AI-led candidate conversations before recruiters decide who advances. |
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| Interview capture and evaluation | Glider AI adds skills assessments, autonomous AI interviews, and identity verification to Findem's discovery and decision context. | Notetaker records and transcribes calls, generates editable structured notes from templates and context, and supports interview feedback workflows. |
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| Outreach and scheduling | Applies candidate context and relationship signals to multichannel engagement, Smart Follow-Ups, talent communities, and agentic workflows. | Shipped Sourcing supports personalized sequences across email, LinkedIn, WhatsApp, and SMS; fillmore is separately announced and waitlist-only—not generally available—to research, follow up, and schedule autonomously. |
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| Analytics and market intelligence | Connects pipeline performance with external talent supply, company movement, geography, skills, tenure, competitor patterns, and location strategy. | Reports analyzes recruiting conversations and process trends; Sourcing supports market mapping, research-paper discovery with citation ranking, and custom columns that score candidates against role-specific criteria. |
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| Agent interface and workflow | Fia, Findem Studio, embedded workflows, and MCP access apply shared talent context across sourcing and broader talent decisions. | Metaview offers a ChatGPT app and specialist agents; shipped Sourcing can launch from Slack, while fillmore remains a separately announced, waitlist-only Slack-native autonomous recruiting coworker—not a generally available capability. |
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| Governance and oversight | Grounds AI in factual, expert-labeled data, separates interpretation from verified data, and supports human-led decisions with reviewable evidence. | Publishes SOC 2 Type II and AI-governance materials, audit logging, and a Warden AI continuous bias audit scoped to Application Review, including an NYC Local Law 144 report. |
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