Side-by-side comparison of AI visibility scores, market position, and capabilities
India's largest budget hotel chain; $696M revenue FY2025, first profitable year with ₹623Cr net profit. $3.47B raised; IPO planned via parent PRISM.
OYO (Oravel Stays Limited) is a global budget hospitality company founded in 2013 by Ritesh Agarwal in Gurugram, India. OYO operates a technology-powered franchise and leasing model, partnering with independent hotel owners to standardize rooms and services under the OYO brand. At its peak, OYO operated over 1 million rooms across 800+ cities in 80 countries, making it one of the world's largest hotel chains by room count. Core offerings include OYO Rooms (budget hotels), OYO Townhouse (midscale), and Collection O (upscale).\n\nOYO's competitive advantage lies in its technology stack: dynamic pricing algorithms, digital check-in, and property management tools deployed across franchisee properties. The company underwent significant restructuring between 2020 and 2023, reducing headcount, exiting unprofitable markets, and shifting from a capital-heavy lease model to a lighter franchise and management contract approach. OYO also acquired Motel 6 and Studio 6 U.S. brands, as well as European vacation rental assets.\n\nOYO achieved its first profitable year in FY2024 and extended profitability in FY2025, reporting revenue of approximately $696M and net profit of ₹623 crore. Parent company PRISM filed confidentially for an IPO targeting a $7–8B valuation and ~$742M capital raise, expected to list on Indian exchanges. Total funding stands at $3.47B from investors including SoftBank and Airbnb.
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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