Numan operates a digital healthcare platform treating common conditions through integrated diagnostics, medication, supplements, and clinical programs—but the tech stack and project list reveal a company increasingly focused on marketplace commerce. Swift/Kotlin mobile apps and Python backend infrastructure are standard; the signal shift comes from active projects around Amazon and TikTok supplement launches, product-listing optimization, and creative-first growth systems. Hiring velocity is accelerating across growth, marketing, and sales roles, suggesting a strategic pivot toward B2C supply-side expansion beyond the core telehealth offering.
Notable leadership hires: Paid Social Lead
Numan provides integrated digital healthcare in the United Kingdom, addressing common health conditions through personalized diagnosis, prescription medications, nutritional supplements, clinical consultations, and digital wellness programs delivered via mobile and web. Founded in 2018 and headquartered in London, the company serves 201–500 employees. Beyond direct clinical care, Numan operates a growing supplement business across major marketplaces, with active expansion into European markets and emerging channels like TikTok. The organization balances traditional healthcare operations (clinical governance, regulatory compliance) with e-commerce growth mechanics (marketplace optimization, multi-channel product launches).
Mobile: Swift, SwiftUI, iOS, Kotlin, Android. Backend: Python, Django, Ruby on Rails, PostgreSQL. Analytics and customer engagement: Looker, Customer.io, Braze, Klaviyo, Intercom, Zendesk, HubSpot. Marketplace and advertising: AWS, Amazon Seller Central, Smartly.io, Amazon Advertising.
Core initiatives: expanding supplement product lines on Amazon and TikTok; launching into new European markets; optimizing product listings for visibility and compliance; building a high-velocity creative system for performance marketing; and scaling marketplace sales and profitability.
Numan'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.