Alexandria Real Estate Equities vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Alexandria Real Estate Equities

LeaderReal Estate & Property Tech

Enterprise

Pasadena life science campus REIT (NYSE: ARE) with 39.7M RSF at $25.7B market cap; largest company lease ever (466,598 RSF/16-year pharma at San Diego Campus Point) and $3.12B 2024 revenue competing with Healthpeak for biotech lab REIT.

AI VisibilityBeta
Overall Score
B75
Category Rank
#290 of 290
AI Consensus
57%
Trend
stable
Per Platform
ChatGPT
70
Perplexity
85
Gemini
66

About

Alexandria Real Estate Equities, Inc. is a Pasadena, California-based life science real estate investment trust — publicly traded on the New York Stock Exchange (NYSE: ARE) as an S&P 500 REIT — operating as the preeminent owner, operator, and developer of collaborative life science, technology, and agtech Megacampus ecosystems in AAA innovation cluster locations including Greater Boston, the San Francisco Bay Area, San Diego, Seattle, Maryland/DC, Research Triangle, and New York City. As of June 30, 2025, Alexandria has a $25.7 billion total market capitalization and manages 39.7 million rentable square feet (RSF) of operating properties and 4.4 million RSF of Class A/A+ properties under construction. In 2024, Alexandria reported $3.12 billion in revenue (+8.20%). The company executed its largest single lease in history — a 16-year agreement with a multinational pharmaceutical tenant for 466,598 RSF at the Campus Point Megacampus in San Diego (98.8% occupied). Executive Chairman and Founder: Joel Marcus; Co-CEOs: Stephen Richardson and Peter Moglia. Founded 1994.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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