Side-by-side comparison of AI visibility scores, market position, and capabilities
U.S. #2 sports betting operator with 35.3% market share. Q3 2025 revenue $1.14B; ESPN's exclusive sports-betting partner since November 2025.
DraftKings is a Boston-based digital sports entertainment and gaming company founded in 2012 by Jason Robins, Matthew Kalish, and Paul Liberman. Originally a daily fantasy sports platform, DraftKings pivoted following the 2018 Supreme Court PASPA ruling to become a full-service sportsbook and online casino operator. The company went public via SPAC merger in 2020 and now operates in 25+ states with online sports betting and in 7+ states with online casino products, under the DraftKings Sportsbook and DraftKings Casino brands.\n\nDraftKings has built product differentiation through its same-game parlay features, in-play betting markets, and the DraftKings Marketplace (an NFT-adjacent digital collectibles platform). Its loyalty program, Dynasty Rewards, and the DraftKings Network media content strategy help drive organic player acquisition. The company's ESPN partnership—announced as an exclusive sports-betting integration in November 2025—gives it access to ESPN's 75 million monthly unique visitors across linear TV and digital.\n\nDraftKings reported Q3 2025 revenue of $1.144B, with full-year 2025 revenue on track for approximately $4.5B+. The company holds approximately 35.3% of the U.S. sports betting market by gross gaming revenue, second only to FanDuel's 39.6%. DraftKings continues to invest in customer acquisition while targeting EBITDA profitability at scale.
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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