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Justin Press 麻豆精品 S�24, a UCF photonic science and engineering major, may have developed a solution that benefits both employers and applicants. His brainchild, Hire Match AI, is an analytics layer that integrates with existing applicant tracking systems to better analyze and interpret hiring data.
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Press says what sets his digital tool apart is its focus on analytics, fit and compliance.
From Frustration to Framework
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Launching What Hiring Lacks
From that frustration came Hire Match AI. Press brought the idea to the Center for Entrepreneurial Leadership, where he received guidance on turning the concept into a business. Now, as he prepares for launch, several businesses have already expressed interest in using the platform to analyze their hiring data more deeply. Press says the goal is to make data analytics more accessible, no matter which ATS a company uses.
“The bigger vision is to make hiring more data-driven, more transparent and less dependent on surface-level filtering.”
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Engineering with Purpose
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Companies interested in using Hire Match AI can or sign up for early access.
