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Hyr

Hire with Certainty in the Age of AI
0.0 (0)
Illinois, United States
2-10 employees

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Company Description

Hyr is an enterprise-grade AI recruiting platform developed by Hub AI, Inc., purpose-built to help organizations see the real person behind the resume and make consistently better hiring decisions. Designed for security, scalability, and explainability, Hyr combines proprietary large language models with a DSPy-based framework and an evaluation science informed by authoritative sources such as the U.S. Department of Labor. The platform streamlines talent acquisition from screening to final selection through a suite of integrated capabilities: the Archetype Creator builds a precise, fair Ideal Candidate Profile directly from a job description; the Unified Candidate Profile consolidates multi-signal insights into an actionable scorecard; the Talent Leaderboard ranks applicants by an evidence-based JobFit Score; and One-Way Video AI Assessments provide unscripted, comparable responses for communication, critical thinking, and behavioral indicators. Side-by-Side Comparison unifies AI-driven scoring with hiring team feedback to align decisions and reduce bias. Hyr’s architecture emphasizes enterprise readiness with dedicated data partitions per tenant, hosted LLMs (not public models), flexible deployment options including on-premise, and a secure integration footprint featuring SSO, ATS integrations, email automation, and automatic interview scheduling. Beyond technology, Hyr offers a Strategic Recruiting Assessment—an intensive, two-phase engagement that maps current processes, identifies bottlenecks, quantifies ROI, and produces a data-backed business case for transformation. Clients in technology, retail and hospitality, and oil and gas use Hyr to accelerate time-to-hire, reduce cost-per-hire, and elevate quality-of-hire by filtering AI-generated noise, validating real competence, and surfacing best-fit talent at scale. Anchored in ethical AI principles, transparency, and measurable performance, Hyr equips enterprise TA teams to move beyond keyword matching toward objective, defensible decisions that improve team performance and retention while delivering a modern, fair candidate experience.

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