Side-by-side comparison of AI visibility scores, market position, and capabilities
London-based hospitality workforce and supply chain platform formed from HotSchedules and Fourth merger; serves 15,000+ locations across restaurants and hotels globally.
Fourth is a workforce management and supply chain platform for the hospitality and restaurant industries, headquartered in London, UK. The company was formed through the merger of HotSchedules, a leading US restaurant scheduling platform, and Fourth, a UK-based hospitality HR and supply chain solution. The combined entity serves over 15,000 restaurant and hotel locations globally, with a strong presence in both North America and the United Kingdom.\n\nFourth's workforce platform covers employee scheduling, time and attendance, HR and onboarding, payroll integration, and compliance management. Its scheduling tools are deeply integrated with POS and sales forecast data, allowing managers to align labor to demand and control costs in real time. The platform's HR module handles hiring workflows, onboarding documentation, and employee records for the high-turnover hospitality workforce, reducing administrative burden on general managers and operators.\n\nFourth's supply chain module, used primarily by UK customers, covers inventory management, menu costing, and supplier ordering — giving operators an integrated view of both labor and food costs. The company competes with Crunchtime, 7shifts, and Harri in the workforce management space, and differentiates through its combined US and UK market presence, its legacy HotSchedules brand recognition, and its ability to serve both restaurant and hotel operations within a single platform.
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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