Digital health platform for weight loss, hair loss, and hormone management
Voy operates a consumer health platform across weight loss, hair loss, testosterone, and menopause management, serving over 1 million members in the UK, Germany, and Brazil. The tech stack reveals a mobile-first, acquisition-driven organization: React Native + TypeScript for iOS/Android, paired with heavy marketing infrastructure (Meta Ads, Google Ads, HubSpot, Salesforce, Braze, Customer.io). Internal focus on engineering velocity (CI/CD pipeline, observability, shared primitives) and slow build times suggest rapid product iteration under scale pressure.
Notable leadership hires: Director Growth
Voy is a direct-to-consumer digital health platform founded in 2022 and headquartered in London. Originally launched as MANUAL with a weight-loss focus, the company rebranded in 2025 to expand into hair loss, testosterone replacement, and menopause management. The platform reaches over 1 million members across the UK, Germany, and Brazil, operating a subscription-based membership model with acute focus on member retention and reducing churn. Sales and marketing run through digital channels (Meta, Google, TikTok), with support infrastructure spanning Zendesk, HubSpot, and Braze. The engineering organization manages native mobile apps, backend services on AWS, and internal tooling (Backstage, Looker, New Relic) to support rapid iteration.
React Native and TypeScript for cross-platform iOS/Android development, with AWS backend, Node.js services, New Relic for monitoring, and Terraform for infrastructure.
Voy covers weight loss, hair loss, testosterone replacement, and menopause management, with plans to expand into additional health categories.
Voy'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.