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Company Description
Semantic Recruitment is an AI-native recruiting company focused on automating the end-to-end talent acquisition workflow while preserving all meaningful hiring decisions for humans. Founded in 2025 as a Delaware C-Corporation and based in Mesa, Arizona, the company is building Yeats (Your Expert Application Tracking System), a conversational AI platform that holds intelligent, human-quality dialogues with both candidates and employers. Yeats automates resume screening and initial outreach, job description creation, multi-dimensional matching analysis, interview scheduling and coordination, and ongoing relationship management, delivering 24/7 candidate engagement and consistent process execution. Crucially, everything that requires human judgment remains with peopletechnical interviews, skills assessment, cultural fit evaluation, salary negotiation, offers, and final authorizationensuring ethical, compliant, and context-aware hiring outcomes. Positioning itself to replace traditional agencies with AI automation, Semantic Recruitment aims to drive up to 10x cost reductions, reduce cycle times, and increase quality and fairness at scale across permanent recruitment and RPO-style partnerships. The founding team is led by Founder and CTO Jesse Hogan, a veteran of technical recruiting and former VP of Engineering at PRN Healthcare, with hands-on LLM integration expertise and deep knowledge of employment law compliance and algorithmic fairness. Through its Insights & Analysis blog, the company addresses the rapidly evolving landscape of AI hiring, from bias and regulatory enforcement to improving the developer experience and anticipating the shift to AI agents as the fabric of enterprise software. Semantic Recruitment is actively expanding its leadership, inviting an exceptional CEO co-founder with Series A fundraising, B2B marketplace or SaaS expertise, and executive team-building experience to help shape a category-defining company in a large, under-innovated market. The firm welcomes collaboration with employers, investors, and partners seeking scalable, compliant, and human-centered AI to modernize how white-collar and technology roles are hired.
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