AECOM vs a2z Radiology AI

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

AECOM

EmergingInfrastructure

General

Dallas global infrastructure consulting (NYSE: ACM) at $16.1B FY2024 revenue with record $24.6B backlog Q3 2025; CEO Troy Rudd 3x market cap growth targeting data center/energy transition competing with Jacobs for complex infrastructure programs.

AI VisibilityBeta
Overall Score
D36
Category Rank
#773 of 1167
AI Consensus
79%
Trend
stable
Per Platform
ChatGPT
40
Perplexity
39
Gemini
42

About

AECOM is a Dallas, Texas-headquartered global infrastructure consulting firm — publicly traded on the New York Stock Exchange (NYSE: ACM) — providing public and private sector clients with professional services across the project lifecycle: advisory and program management, planning, design and engineering, and construction management for transportation, buildings, water, energy, and environment infrastructure sectors. In fiscal year 2024, AECOM reported $16.1 billion in revenue with 51,000 employees globally, reaching a record-high total backlog of $24.6 billion in Q3 FY2025 — representing strong pipeline growth driven by US infrastructure bill funding (IIJA), defense and government facility modernization, and data center and energy infrastructure expansion. Under CEO Troy Rudd (since 2020), AECOM's market capitalization has nearly tripled through a strategy focused on high-complexity infrastructure programs. Fortune 500 #291 (2023). AECOM traces its history to predecessors founded in 1910.

Full profile

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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