NAOS operates three skincare brands (Bioderma, Institut Esthederm, Etat Pur) across 130 countries with a stack anchored in SAP S/4HANA, IQVIA, and HPLC-MS. The hiring velocity and project mix—national medical visit strategy, monthly doctor/pharmacy outreach, SAP implementation—reveal a company in mid-transformation: shifting from regional operations to centralized ERP while maintaining direct-to-prescriber sales channels. Active pain points around ISO 22716 compliance, visa management, and process industrialization suggest they're managing the operational complexity of scaling a regulated cosmetics business across fragmented labor and regulatory environments.
Notable leadership hires: Medical Visit Director
NAOS is a French dermo-cosmetic manufacturer founded in 1977 and headquartered in Aix-en-Provence. The company owns three brands—Bioderma, Institut Esthederm, and Etat Pur—all built on Ecobiology, an approach combining ecosystem and skin biology. With 3,500+ employees, NAOS distributes across 130 countries and operates under a unique governance model: full ownership by a non-profit endowment fund. The business model centers on dermo-cosmetic products sold through pharmacies, dermatologists, and prescriber networks; distribution spans North Africa (Saudi Arabia, Egypt), Europe (France), and North America. Current operations are undergoing significant ERP centralization (SAP S/4HANA implementation) and process digitalization.
NAOS runs SAP S/4HANA as its core ERP, supported by IQVIA for market intelligence, HPLC-MS for cosmetics R&D, Jira for project management, and Google Analytics/Ads for digital marketing. The company is actively implementing SAP S/4HANA as a transformation initiative.
NAOS is actively hiring across Saudi Arabia, Egypt, France, and the United States—reflecting geographic expansion in Middle East, home market, and North America. The hiring emphasis on compliance (labor law, visa processes) indicates regional market entry complexity.
NAOS (Bioderma - Institut Esthederm - Etat Pur)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.