Modash vs a2z Radiology AI

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

Modash

EmergingCreator Economy

Influencer Discovery

Influencer discovery and analytics platform for finding and vetting creators; Tallinn Estonia; raised $12M+; indexes 250M+ creator profiles globally.

About

Modash is an influencer discovery and analytics platform headquartered in Tallinn, Estonia, that enables brands and marketing teams to find, vet, and track creator partnerships at scale. The company raised over $12 million in venture funding and has built one of the largest influencer databases available, indexing more than 250 million creator profiles across Instagram, TikTok, and YouTube.\n\nThe platform's search and filtering capabilities allow marketers to identify creators by niche, audience demographics, engagement rate, follower count, location, and contact availability. Unlike many influencer platforms, Modash provides audience authenticity data to help brands identify creators with genuine, engaged followings rather than inflated metrics driven by bots or purchased followers.\n\nModash also offers influencer monitoring and reporting tools that track campaign performance, branded content reach, and earned media value after partnerships go live. Its focus on data accuracy and transparency has made it a preferred tool for in-house marketing teams and digital agencies that manage influencer programs at scale without relying on managed services.

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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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