Side-by-side comparison of AI visibility scores, market position, and capabilities
Top mobile game publisher; $10B+ lifetime revenue. Acquired Niantic's games division (Pokémon GO) for $3.5B in May 2025. MONOPOLY GO! drove $4.1B+ since launch.
Scopely is a leading mobile gaming company founded in 2011 and headquartered in Culver City, California. Backed by Savvy Games Group (Saudi Arabia's Public Investment Fund subsidiary), Scopely develops and publishes mobile-first games across strategy, board games, RPG, and casino genres. Its flagship titles include MONOPOLY GO! (the most successful mobile game launch of 2023), Star Trek Fleet Command, Stumble Guys, Scrabble GO, and Yahtzee with Buddies.\n\nScopely's strategy combines its internally developed games with acquisitions and licensed intellectual property. The company operates a global game studio network and employs live-ops and social engagement mechanics to maximize player lifetime value. In 2024, Scopely was named one of TIME's 100 Most Influential Companies, reflecting its outsized impact on the mobile gaming landscape.\n\nIn May 2025, Scopely completed the $3.5B acquisition of Niantic's games division, including Pokémon GO, Pikmin Bloom, and Monster Hunter Now, adding over 30 million monthly active players to its portfolio. Pokémon GO saw its two best earnings months ever following the acquisition. Scopely has surpassed $10B in lifetime revenue across its portfolio, driven largely by MONOPOLY GO!'s $4.1B+ in cumulative revenue since its June 2022 launch.
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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