Eightfold AI
Eightfold AI leverages AI to enhance talent acquisition and workforce management, helping companies identify, engage, and retain top talent through predictive analytics.
Eightfold AI is a **talent intelligence platform** powered by deep learning and agentic AI that transforms how organizations approach hiring, retention, and workforce planning by combining enterprise data, market trends, and real-time work signals to create dynamic understanding of talent and skills[2]. The platform delivers **AI-powered candidate matching** based on skills and potential rather than resume keywords, **internal mobility and career pathing** to identify promotion opportunities, **skills intelligence and workforce analytics** that provide leaders with a comprehensive view of organizational capabilities and gaps, and **agentic AI automations** including AI interviewers that operate 24/7 to screen candidates and guide hiring workflows[1][2][3]. Eightfold serves mid-market to enterprise organizations undergoing digital transformation, particularly those pursuing skills-based operating models, managing rapid industry change, or seeking to align HR strategy with business needs; it's designed for companies that want to move beyond traditional headcount metrics and focus on workforce capabilities and potential[1]. The platform distinguishes itself through its ability to integrate seamlessly with existing HR technology stacks—connecting to major ATS platforms, HRIS systems, and learning management systems—while delivering context-aware talent decisions that accelerate hiring cycles and reduce missed opportunities in candidate pools[1]. Additionally, Eightfold empowers employees through **self-service career intelligence** that helps individuals understand their skills and build fulfilling career paths, and it features **responsible AI controls** with explainability to ensure fair, transparent talent decisions[1][2].
Eightfold states it uses 'Anonymized Learnings' for product improvement and model training, but the anonymization proces
Eightfold states it uses 'Anonymized Learnings' for product improvement and model training, but the anonymization proces
Moderate risk. Suitable for internal data but avoid confidential information.
Eightfold states it uses 'Anonymized Learnings' for product improvement and model training, but the anonymization process and opt-out mechanisms are not clearly detailed. The Privacy Policy mentions building and training models using 'anonymized' datasets with 'industry standard techniques,' but lacks explicit guarantees that customer data won't be used for training without consent.
“[ToS] 'Anonymized Learnings' means data created from Customer Data that is anonymized...for lawful business purposes, including but not limited to product improvement (in particular, training and developing machine learning algorithms)”
Customer retains ownership of Customer Data, but Eightfold claims broad rights to 'Anonymized Learnings' and feedback. The license to use Customer Data is limited to service provision, but the definition of 'Anonymized Learnings' is broad and could encompass significant derivative insights. Feedback is explicitly owned by Eightfold with no restrictions.
“[ToS] 'Customer shall own and retain all rights, title and interest in and to the Customer Data' but 'Eightfold shall own and retain all rights...to...Anonymized Learnings...and any software, technology, documentation, and Intellectual Property developed in connection with the Services'”
Eightfold shares data with subprocessors and service providers under DPAs, with a published subprocessor list. However, the Privacy Policy indicates sharing with 'service providers' for marketing, analytics, and business operations without explicit restrictions on all uses. Sharing with customers' authorized users and service providers is permitted for service delivery.
“[Privacy] 'we may share Personal Data with providers of hosting, marketing, sales/customer relationship management services, product support, product management, and security enhancement' and '[DPA] Eightfold maintains an up-to-date list of its authorized Subprocessors on its website at https://eightfold.ai/subprocessors'”
The MSA states data is available for 30 days after termination, then may be deleted 'with or without Customer's written request.' The Privacy Policy uses vague language ('as long as reasonably necessary') without specific retention periods. Backup copies may be retained per standard processes, creating uncertainty about actual deletion timelines.
“[ToS] 'Upon any termination of all Sales Order...Eightfold will make all Customer Data available to Customer for electronic retrieval for a period of thirty (30) days upon Customer's written request, but thereafter Eightfold may delete such Customer Data with or without Customer's written request'”
The MSA explicitly states Customer owns all Customer Data and retains all rights. Eightfold owns only the Services, Services Generated Data, and Anonymized Learnings. There are no restrictions on Customer's commercial use of outputs or assertion of exclusive IP ownership.
“[ToS] 'As between Customer and Eightfold, Customer shall own and retain all rights, title and interest in and to the Customer Data' and 'Eightfold may use the Customer Data to enable and provide Eightfold's products and services, subject to the terms and conditions of this Agreement'”
Eightfold explicitly commits to SOC 2 audits, maintains Data Privacy Framework certification (EU-U.S., UK, Swiss-U.S.), complies with GDPR, and provides a detailed Security Addendum. The company publishes audit reports upon request and maintains comprehensive security documentation.
“[ToS] 'The security program will be subject to periodic Service Organization Control 2 (SOC 2) audits or other similar independent third-party audits' and '[Privacy] Eightfold has certified to the U.S. Department of Commerce that it adheres to the EU-U.S. Data Privacy Framework Principles'”
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