AG1 vs a2z Radiology AI

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

AG1

GrowthConsumer Lifestyle & Wellness

Nutritional Supplements

Single-SKU greens supplement brand; projected $600M revenue in 2025, $1.2B valuation, built almost entirely on DTC subscriptions.

About

AG1 (formerly Athletic Greens) is a New Zealand-founded, US-focused nutritional supplement company that manufactures a single flagship product: a daily all-in-one greens powder. Founded in 2010 and now headquartered in Las Vegas, the company bootstrapped to approximately $160 million in revenue before raising $115 million in a growth round in January 2022 at a $1.2 billion valuation, led by Alpha Wave Global.\n\nAG1 projects revenue of approximately $600 million in 2025, driven almost entirely by direct-to-consumer subscriptions sold online. The company has no retail distribution and no SKU diversification — an unusual strategy that has proven powerful for brand clarity and margin preservation. AG1 products are endorsed by high-profile athletes and health podcasters including Andrew Huberman, fueling viral word-of-mouth and podcast advertising at scale.\n\nIn 2025 the company began expanding into complementary product lines while retaining its minimalist brand identity. Its subscription model creates strong LTV economics, and the company has been reportedly cash-flow positive since well before its funding round. AG1 is often cited as a benchmark for DTC supplement brand building.

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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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