Side-by-side comparison of AI visibility scores, market position, and capabilities
Dublin Ireland AI-powered restaurant operations platform for demand forecasting and labor optimization; raised $10M+; serves multi-unit restaurant groups in Europe.
Nory is an AI-powered restaurant operations platform headquartered in Dublin, Ireland. Founded in 2021, the company has raised over $10M in funding and serves multi-unit restaurant groups seeking to use data and machine learning to optimize labor scheduling, demand forecasting, and operations management. Nory positions itself as the intelligent operating system for restaurant groups, replacing manual spreadsheet-based planning with AI-driven recommendations.\n\nNory's demand forecasting engine analyzes historical sales data, weather patterns, local events, and seasonal trends to predict revenue by hour and daypart across each restaurant location. These forecasts drive automated labor scheduling recommendations that align staffing levels with expected demand, reducing both overstaffing costs and understaffing that impacts guest experience. Nory's operations dashboard gives multi-unit managers and area coaches real-time visibility into performance across their portfolio.\n\nNory competes with Crunchtime, Fourth, and 7shifts in the restaurant operations and scheduling space but differentiates through its AI-first approach and modern product experience designed for a new generation of restaurant operators. The platform is gaining traction among fast-casual and quick-service restaurant groups in the UK and Ireland that are investing in data-driven operations. As AI tools become mainstream in the restaurant industry, Nory is positioned at the intersection of workforce management, analytics, and predictive intelligence.
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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