Function of Beauty vs a2z Radiology AI

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

Function of Beauty

GrowthConsumer Lifestyle & Wellness

Personalized Beauty

Algorithm-driven personalized haircare brand; sold at Target and CVS; pioneered mass-market hair customization at accessible price points.

About

Function of Beauty is a New York-based personalized haircare brand founded in 2015 by Zahir Dossa and Hien Nguyen. The company uses a proprietary algorithm and quiz-based system to formulate custom shampoo, conditioner, and hair treatment products from a matrix of active ingredients, fragrances, and color dyes. Products are manufactured to order and shipped directly to consumers with their name on the bottle.\n\nFunction of Beauty differentiated from Prose by targeting a broader, more price-sensitive consumer segment and aggressively expanding into mass retail. The brand entered Target in 2020 and later CVS, growing to thousands of store locations nationwide. This retail-first expansion made personalized haircare accessible at drugstore price points rather than premium DTC-only tiers. The company has also launched personalized skincare and bodycare lines.\n\nThe brand faced market headwinds in 2024 as consumer interest in personalized beauty matured, but it retains its position as the most widely distributed customized haircare brand in the US. Function of Beauty has raised over $150 million in venture funding and continues to iterate on its personalization engine with AI-driven ingredient recommendations and expanded formula options.

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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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