Thumbtack vs a2z Radiology AI

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

Thumbtack

LeaderHome Services

Home Services

SF local services marketplace with 80M+ consumers and 250K+ pros across 1,000+ categories; $500M Sequoia/Tiger Global-backed shifting to pro subscription model competing with Angi and TaskRabbit for US home services marketplace.

AI VisibilityBeta
Overall Score
A87
Category Rank
#1 of 4
AI Consensus
51%
Trend
stable
Per Platform
ChatGPT
79
Perplexity
80
Gemini
84

About

Thumbtack is a San Francisco-based online marketplace for local home and professional services — backed by approximately $500 million in total funding from Sequoia Capital, Tiger Global, Google Capital, and Baillie Gifford — connecting 80+ million consumers with local professionals across home improvement (contractors, plumbers, electricians, painters, landscapers), events (photographers, DJs, caterers, florists), lessons (music, tutoring, fitness, language), and wellness (massage therapists, personal trainers, nutrition coaches) in 1,000+ service categories across the United States. Founded in 2008 by Marco Zappacosta, Sander Daniels, Jonathan Swanson, and Jeremy Tunnell, Thumbtack has shifted its business model from a marketplace where pros pay per lead to a subscription-based model (Thumbtack Pro Membership) where professionals pay monthly fees for profile promotion and customer connection tools.

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.

Full profile

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