Side-by-side comparison of AI visibility scores, market position, and capabilities
FY2024 Revenue: $11.174B (+9.17% YoY) | RevPAR +2.7% | 98,400 room openings in 2024 | Net unit growth: 7.3% | Franchise fees revenue +9.5% | System-wide RevPAR +3.7% | Americas RevPAR +3.1%
Hilton is one of the world's largest and most recognized hospitality companies, founded in 1919 by Conrad Hilton in Cisco, Texas, and headquartered today in McLean, Virginia. Built on a century of hotel operations, Hilton's core business model has evolved from direct hotel ownership to a capital-light franchise and management model that earns fees on rooms operated under its brand portfolio rather than owning the underlying real estate. This asset-light structure generates high-margin, recurring revenue while enabling rapid global expansion with franchisee capital.\n\nHilton's portfolio spans 22 distinct brands across the full spectrum of lodging — from the flagship Hilton Hotels & Resorts and luxury Conrad and Waldorf Astoria brands to the extended-stay Homewood Suites and budget-friendly Hampton Inn. The company operates or franchises more than 7,600 properties worldwide, supported by the Hilton Honors loyalty program, which drives direct booking and customer retention across the portfolio. In 2024, Hilton opened 98,400 rooms — among its highest annual openings — growing its net system size by 7.3% and expanding its pipeline for continued fee growth.\n\nHilton reported FY2024 revenue of $11.174 billion, a 9.17% year-over-year increase, with RevPAR growth of 2.7% reflecting healthy leisure and business travel demand. As global travel volumes continue recovering and business travel normalizes post-pandemic, Hilton's combination of brand breadth, loyalty program scale, and a robust development pipeline positions it for sustained fee income growth. Its capital-light model translates network expansion into margin-accretive earnings without the balance sheet risk of direct real estate ownership.
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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