AdeptID builds two proprietary models for search and matching. Today's HCM and ATS applications benefit from having both. Our models score higher than all of WorkRB’s named ranking reference models on all four quality measures.
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The traditional approach to candidate matching has reached its breaking point as legacy keyword-based systems fail to meet the demands of today's competitive staffing landscape. Learn how predictive AI is reshaping recruiting and the candidate selection process.
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Credo AI's case study showcases how AdeptID transformed from compliance concerns to a competitive advantage by implementing responsible AI governance that enhanced customer trust, streamlined product development, and fostered transparent collaboration.
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Non-degree training programs have become an essential pathway for skill development and career transitions. New AdeptID research sheds light on the impact of these “alternative” training programs, providing recommended actions for workforce development practitioners and policymakers to better support career success.
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For many, AI’s potential has been marred by its checkered history of bias and inaccuracy. Here we share AdeptID’s perspective on how AI can be built responsibly to serve the Talent ecosystem.
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