SeekOut
SeekOut is a talent intelligence platform that helps companies find, engage, and hire top talent by providing advanced search capabilities and insights into candidate profiles.
SeekOut is an AI-powered talent intelligence platform that empowers enterprises to discover, engage, and hire top talent while optimizing internal workforce mobility and addressing skills gaps through advanced data analytics and machine learning.[1][4] Its core value proposition lies in unifying external candidate pools of nearly one billion profiles with internal talent data, delivering actionable insights for faster time-to-hire, diverse pipelines, and strategic workforce planning.[5][7]
Key features include AI-assisted search with smart filters and Boolean capabilities, interactive career paths via SeekOut Grow, workforce insights dashboards for skill gap analysis, automated personalized outreach campaigns, and unbiased sourcing tools with diversity analytics.[1][3][4] Designed for HR leaders, recruiters, and business executives in large enterprises, it supports use cases like external talent sourcing, internal promotions, DEI initiatives, and redeployment to reduce reliance on costly external hires.[1][2]
What sets SeekOut apart is its agentic AI that goes beyond keywords to uncover hidden talent from sources like patents and GitHub, integrates seamlessly with ATS and HRIS systems, and provides role-specific workflows with smart shortlisting for consistent, scalable hiring.[3][4][5]
Sources
- [1] https://www.hrstechspace.com/enterprise-ai/talent-intelligence-platform/
- [2] https://www.g2.com/products/seekout/features
- [3] https://www.seekout.com/blog/9-seekout-platform-capabilities-to-take-advantage-of-in-2023
- [4] https://www.seekout.com
- [5] https://www.seekout.com/platform/recruit
- [7] https://juicebox.ai/blog/seekout-reviews
SeekOut uses machine learning to infer candidate characteristics but does not explicitly state whether customer data tra
No training opt-out mechanism was identified in the legal documents.
Moderate risk. Suitable for internal data but avoid confidential information.
SeekOut uses machine learning to infer candidate characteristics but does not explicitly state whether customer data trains their AI models. The Privacy Policy mentions machine learning inferences for candidate matching but lacks clear language on whether customer account data or search activity feeds model training. The ToS does not address AI training on customer data.
“[Privacy] 'We use machine learning-powered functionality to infer other likely characteristics about job candidates in the SeekOut Candidate Database' but no explicit statement on whether customer data trains models.”
SeekOut grants itself a non-exclusive, royalty-free license to customer data 'for the purpose of performing its obligations under this Agreement,' which is narrowly scoped to service delivery. However, the license language is somewhat broad and does not explicitly prohibit sublicensing or use beyond the stated purpose, creating moderate ambiguity.
“[ToS] 'You grant to SeekOut a non-exclusive and royalty free license to use Customer Data or other materials you provide to SeekOut for the purpose of performing its obligations under this Agreement.'”
SeekOut shares customer data with service providers under DPAs and limits sharing to essential infrastructure and support functions. However, the Privacy Policy mentions sharing with 'advertising and marketing partners' for targeted advertising of SeekOut's own services, and sharing with 'affiliates and subsidiaries' without detailed restrictions, creating moderate concern.
“[Privacy] 'We may disclose your personal information with our third-party service providers' and 'We may disclose your personal information between and among SeekOut and our current and future parents, affiliates, subsidiaries, and other companies under common control.'”
SeekOut states it retains data 'as long as reasonably necessary' and will delete upon request, but the timeframe is vague. The Privacy Policy mentions retention of cached/archived copies for 'up to two (2) months' after account deletion, and the SeekOut Candidate Database is refreshed regularly without clear deletion timelines for individual records.
“[Privacy] 'We retain your personal information for as long as reasonably necessary' and 'We may also retain cached or archived copies of information about you for up to two (2) months.'”
The ToS explicitly states that customers retain all right, title, and interest in Customer Data. SeekOut claims no ownership of customer-provided materials and only receives a limited license to use data for service delivery purposes, providing clear enterprise-friendly protection.
“[ToS] 'As between the Parties, you retain all right, title, and interest in and to Customer Data.' and 'SeekOut and its licensors retain sole and exclusive ownership of and all rights, title, and interest in and to the Protected Materials.'”
SeekOut mentions CCPA compliance and references a Data Processing Agreement for EU/UK customers, but does not explicitly list SOC 2, ISO 27001, HIPAA, or other standard security certifications in the provided documents. The Privacy Policy references compliance obligations but lacks published security certifications or trust documentation.
“[Privacy] 'SeekOut will process...Customer Data...in accordance with the California Consumer Privacy Act' and '[ToS] references 'the Data Processing Agreement' for EU/UK customers, but no specific certifications listed.”
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