Curb vs a2z Radiology AI

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

Curb

EmergingTransportation

Mobility Services

NYC taxi e-hailing platform with 100K+ licensed drivers across 60+ US cities; Verifone-operated Curb app competing with Uber and Lyft for regulated licensed transportation and corporate ground travel management.

AI VisibilityBeta
Overall Score
C45
Category Rank
#4 of 5
AI Consensus
65%
Trend
stable
Per Platform
ChatGPT
41
Perplexity
52
Gemini
47

About

Curb Mobility is a New York City-based taxi technology and e-hailing platform — privately held — operating as the largest taxi app network in the United States with 100,000+ licensed taxi and for-hire vehicle drivers across 60+ cities (New York, Chicago, Boston, Philadelphia, Las Vegas, Miami, and other major US markets) providing app-based taxi hailing, in-cab payment processing (the Curb payment tablet installed in taxis), and enterprise ground transportation management for corporate clients, hotels, and airports seeking licensed, regulated transportation alternatives to rideshare. Originally launched as Taxi Magic in 2008 and rebranded as Curb in 2014, Curb is operated by Verifone Transportation Systems and serves the segment of travelers, corporate accounts, and accessibility-focused riders who specifically prefer licensed taxi services over Uber and Lyft drivers.

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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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