New HR Tech from Zoominfo, Employ

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ZoomInfo (NASDAQ: GTM), the Go-To-Market (GTM) Intelligence and Talent Solutions platform, today announced the launch of its AI Builder Catalog, a specialized dataset that surfaces verifiable Proof-of-Work Signals to accelerate AI hiring.

The AI Builder Catalog enables recruiters to create talent profiles on individuals that go far beyond a resume. It shows recruiting teams and hiring managers the hidden gems and rising stars making breakthrough contributions before everyone else discovers them.

The AI Builder Catalog addresses critical pain points that talent acquisition leaders face:

  • Engaging top passive talent: Most top AI practitioners aren’t actively job searching, and their technical contributions exist across fragmented platforms such as coding repositories, academic conferences, model hubs, patent databases, and technical communities.
  • Proving quality-of-hire to leadership: Recruiters need objective evidence to justify candidate decisions, especially for highly compensated AI roles where hiring mistakes are costly.
  • Reducing time spent on unqualified candidates: Manually verifying technical credentials across multiple platforms is time-consuming and inefficient, slowing down hiring cycles.
  • Identifying scarce, specialized skills: Generic searches for “machine learning engineer” miss the nuance between candidates with multimodal AI experience, retrieval system expertise, or AI safety credentials.

“Passive, outbound recruiting is very much alive, especially when you’re competing for the best AI talent in the world,” said Jon Bischke, GM of ZoomInfo Talent Solutions. “We don’t rely on self-reported skills or endorsements because the best AI talent isn’t on job boards. They’re building breakthrough models, contributing to open source, and publishing research. We track actual code commits, published papers, and granted patents—proof you can’t fake.”

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Employ Inc., a leading provider of people-first, intelligent hiring solutions across JazzHR, Lever, and Jobvite, today announced the launch of the AI Screening Companion — expanding its suite of AI Companions that boost recruiter efficiency and elevate candidate experience through responsible, transparent automation.

Built using IBM watsonx.governance, the AI Screening Companion delivers proactive, intelligent assistance that goes beyond basic automation. It continuously matches candidates to open roles, identifies talent at risk of disengagement, and automatically provides personalized feedback to rejected candidates, all while maintaining real-time bias monitoring and complete transparency into AI recommendations.

Key capabilities include:

  • AI-Powered Screening: Proactively matches candidates to jobs, explains why they fit, and helps recruiters fill hard-to-fill roles faster by surfacing qualified talent automatically.
  • Talent Loss Risk Alerts: Monitors candidate engagement and notifies recruiters when top candidates show signs of disengagement, with specific recommendations to re-engage them before they accept competing offers.
  • Candidate Transparency: Automatically generates and delivers personalized feedback to rejected candidates, strengthening employer brand and candidate experience without creating extra work for recruiters.
  • Responsible AI Governance: Backed by IBM’s leadership in responsible technology to provide real-time bias monitoring and audit-ready compliance capabilities.

“Recruiters don’t need another complex system or black-box AI — they need a partner that makes hiring more human,” said Dara Brenner, Chief Executive Officer at Employ. “Employ’s new AI Screening Companion delivers intelligent, transparent support that helps our customers find qualified talent faster, understand why they are a fit, and re-engage before candidates slip away. Every AI Companion we build is grounded in responsible innovation and designed to deliver measurable impact — without the cost, complexity, or guesswork that slows teams down. We’re empowering our customers to hire smarter and with confidence, not compromise.”

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