Enterprise-grade talent intelligence to automate shortlisting and eliminate bias.
Ideal is an advanced Talent Intelligence system that leverages machine learning to automate the high-volume aspects of the recruitment lifecycle. Originally a standalone AI recruiting platform and now a core component of the Dayforce HCM ecosystem (formerly Ceridian), Ideal's technical architecture utilizes ethical AI to grade candidates, reduce unconscious bias, and optimize talent rediscovery. By analyzing historical hiring data and cross-referencing it with post-hire performance metrics, Ideal provides a predictive layer that informs hiring managers of the most viable candidates within their existing ATS databases. In the 2026 market, it stands as a leading solution for enterprise-scale organizations (1,000+ employees) looking to solve the 'resume volume' problem. The platform operates on a 'Fair AI' framework, providing transparent audit trails for grading decisions to ensure compliance with global employment regulations like NYC Local Law 144 and GDPR. Its ability to integrate natively with legacy ATS systems while providing a unified intelligence layer makes it a critical infrastructure tool for global talent acquisition teams.
Uses NLP and pattern recognition to assign A, B, C, or D grades based on objective merit and job requirements.
AI-powered semantic translation of code activity into global professional profiles.
Enterprise-grade AI recruitment automation for sourcing, screening, and hiring top talent at scale.
The world's largest professional network, powered by generative AI-driven recruitment and labor market intelligence.
The all-in-one ATS built directly on the world's largest professional network for seamless source-to-hire workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Programmatically scans the entire historical ATS database to match past applicants with new job openings.
Identifies and flags demographic disparities in the shortlisting process in real-time.
Bi-directional sync capabilities with major ATS providers like Greenhouse, Lever, and Workday.
Builds predictive models based on the attributes of currently successful employees in specific roles.
Handles thousands of applications per hour with millisecond latency for grading updates.
Optional chatbot interface to collect basic qualifications before the candidate reaches the ATS.
Manually reviewing 50,000+ applications for seasonal roles is impossible for small HR teams.
Registry Updated:2/7/2026
Organizations struggling to hit diversity targets due to top-of-funnel bias.
Re-paying for the same candidates on LinkedIn because the ATS database is 'dark' and unsearchable.