| Primary operating problem | Gives talent teams a shared intelligence layer for sourcing, hiring, executive search, mobility, analytics, and workforce decisions. | Automates the external top-of-funnel motion from sourcing and ranking through outreach, CRM updates, and interview scheduling. |
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| Core data foundation | Models people, companies, careers, and relationships over time across 800M+ people, 100K+ sources, and 300,000+ searchable attributes. | Searches 850M+ profiles aggregated across multiple providers, including professional, company, code, and technical-signal sources. |
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| Sourcing channel coverage | Searches inbound, ATS, CRM, referrals, employee connections, alumni, internal mobility, and external talent in one contextual view, with warm paths surfaced first. | Public product pages emphasize external profile discovery and ATS/CRM synchronization; they do not document native referrals, alumni, internal mobility, or attribute-depth ATS rediscovery as primary sourcing channels. |
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| Search and candidate context | Uses attribute-based 3D data to evaluate career trajectory, company context, outcomes, relationships, and experience beyond literal titles or resume wording. | Uses natural-language, skills-based matching to read career trajectory, projects, GitHub, publications, and fit rather than relying only on Boolean keywords. |
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| Outreach and scheduling | Applies shared candidate context and relationship signals to multichannel engagement, Smart Follow-Ups, talent communities, and agentic workflows across warm and external candidates. | Runs personalized email, LinkedIn, and SMS sequences, adapts follow-ups, detects scheduling intent, coordinates calendars, and writes confirmed interviews back to connected systems. |
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| ATS, CRM, and rediscovery | Enriches and refreshes existing records, searches prior applicants at attribute depth, deduplicates profiles, and evaluates ATS talent alongside every other sourcing channel. | Lists broad ATS/CRM integrations and configurable sync triggers; public documentation frames these connections around candidate and activity synchronization rather than a native warm-channel intelligence layer. |
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| Market and workforce intelligence | Connects pipeline performance with talent supply, company movement, geography, skills, tenure, competitor patterns, and location strategy. | Public product pages reviewed emphasize sourcing, outreach, scheduling, CRM, and recruiting MCP workflows; workforce-planning content is educational rather than a documented in-product market-intelligence module. |
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| Agent interface | Fia, Findem Studio, embedded workflows, and MCP access apply the same contextual talent data across sourcing and broader talent decisions. | Pin MCP exposes ten tools for search setup, candidate review, search tuning, and per-job memory in compatible assistants including Claude and ChatGPT. |
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| Governance and oversight | Grounds AI in factual, expert-labeled data and supports explainable, human-led decisions across a broader talent workflow. | Current product pages document Assist and Autopilot modes, action feeds, routing rules, suppression handling, human approval for bulk outreach, logged edits, and SOC 2 Type II status. |
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| Decision scope | The right choice when the buyer needs reusable intelligence across channels, roles, markets, and workforce decisions — not only faster outbound execution. | Product emphasis remains the autonomous execution of sourcing, outreach, CRM movement, and scheduling for active searches. |
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