Personalized nutrition platform powered by AI and consumer genomics
ZOE delivers personalized nutrition guidance through a mobile-first app backed by proprietary research and machine learning. The tech stack—Kotlin/React Native for mobile, Python/FastAPI backends, BigQuery/dbt for analytics—reflects a consumer health company scaling acquisition and engagement in parallel. Active hiring across engineering, design, and product (with a skew toward senior/lead roles) combined with projects around GTM optimization, data governance, and design system adoption signals a shift from research-first to growth and systems-maturity focus.
Notable leadership hires: Copy Lead
ZOE is a remote-first healthtech company founded in 2017 that helps members improve their health through AI-powered personalized nutrition recommendations. The platform combines genomic and microbiome insights with dietary tracking to generate individualized meal guidance. Currently operating in the US and the UK, the company serves tens of thousands of members through a mobile app. The organization is backed by scientific founders and investors with track records building multi-billion-dollar tech companies, and has published research in leading journals including Nature Medicine, The Lancet, and Science.
ZOE's stack spans Kotlin and React Native for mobile, Python/FastAPI and Spring Boot for backend services, BigQuery and dbt for analytics, Kubernetes and Terraform for infrastructure, and Firebase Authentication plus AppsFlyer for mobile engagement.
ZOE is headquartered in London and operates as a remote-first company. The US and UK are its primary markets for the personalized nutrition program.
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ZOE'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.