Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC-based hospitality HR, recruiting, and workforce management platform; raised $30M+; purpose-built for restaurant and hotel operators managing hourly employees.
Harri is a hospitality-focused HR, recruiting, and workforce management platform headquartered in New York City. Founded in 2012, the company has raised over $30M in funding and built a platform designed specifically for the hiring, onboarding, scheduling, and retention challenges of hourly hospitality workers. Harri serves restaurants, hotels, and other hospitality businesses that rely on large frontline workforces and face persistent challenges with high turnover and tight labor markets.\n\nHarri's platform covers the full employee lifecycle from job posting and applicant tracking through onboarding, scheduling, time and attendance, and workforce analytics. Its recruiting module includes a consumer-grade candidate experience with a mobile app where hospitality workers can search for jobs, manage applications, and communicate with employers. Harri integrates with major hospitality job boards and uses AI-powered matching to surface qualified candidates for open roles.\n\nThe platform's workforce management features include shift scheduling with labor cost controls, time tracking with biometric options, and manager communication tools. Harri competes with 7shifts, Fourth, and general HR platforms like Workday, differentiating through its combined recruiting and workforce management capabilities within a single hospitality-specific platform. Its growth has been driven by large restaurant chains and hotel groups seeking to reduce time-to-hire and turnover costs through better technology.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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