SkinSAFE Products Inc.

Startup
Summarized by Halo AI

SkinSAFE is a science-backed, Mayo Clinic-partnered platform that helps consumers with sensitive skin identify safe beauty and household products through personalized ingredient analysis and AI-driven recommendations.

Founded & HQ
Phoenix, AZ, USA
Company size
1-10 employees
Funding
~$100K
Activity highlights
Developed the Trusted Choice Program in partnership with the Mayo Clinic to certify skin and beauty care products based on clinical ingredient data.

SkinSAFE Products Inc. provides a digital platform that serves as an ingredient-based shopping assistant for beauty, skincare, and household products. Developed in partnership with the Mayo Clinic, the company leverages a proprietary system and AI technology to analyze product formulations based on over 25 years of clinical research. By utilizing an ingredient database and barcode scanning, the service evaluates products for potential allergens and irritants, allowing users to filter items according to personalized skin profiles, patch test results, or specific wellness markers such as SkinSAFE 100, which identifies products free from common allergy-causing ingredients. The platform aims to remove the guesswork from ingredient labels by providing science-backed, unbiased ratings that help consumers avoid harmful reactions. Beyond consumer services, the company engages with CPG brands to offer product certifications, licensing of the SkinSAFE marks, and targeted digital marketing to its user base. For customers dealing with conditions like eczema, dermatitis, or sensitive skin, the tool offers a way to manage skin health by identifying safe products and suggesting better alternatives. By centralizing ingredient data and offering personalized recommendations, SkinSAFE empowers users to make informed purchasing decisions, helping them reduce the risk of skin irritation and improve their overall skin health. The company also supports professional integration, allowing skin health providers to generate personalized codes for patients to use within their accounts.

AI summary generated on Jun 22, 2026
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LJ
Lilian Josephson
Principal Investigator
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