Modea is a digital consultancy focused on healthcare organizations, blending design, strategy, and technology delivery. The stack is DXP-native (Drupal, Sitecore, Optimizely) with modern frontend layers (React, Next.js, GraphQL) and analytics-heavy instrumentation (Adobe CJA, Tealium, GA4, Heap) — reflecting a shift toward measurable patient experience outcomes. Active hiring across design, engineering, and data signals growth in delivery capacity and analytics capability.
Modea partners with healthcare organizations to architect and implement digital transformation programs. The firm operates across three primary tracks: digital product and experience strategy, DXP platform selection and build-out, and analytics instrumentation to track patient journey performance. Customers include health systems and healthcare enterprises at mid-market and enterprise scale. The consultancy combines upstream research and strategy work (audience research, customer journey mapping, UX research) with hands-on delivery (website and application development, testing, API integration, analytics dashboards). Current project activity shows heavy emphasis on Adobe CJA implementation, GA4 and Heap-based tracking deployment, and test automation maturity.
Primary platforms: Drupal, WordPress, Sitecore, Optimizely. Frontend: React, Angular, Next.js, GraphQL. Analytics: Adobe CJA, Tealium, Google Analytics 4, Heap. Testing/QA: JMeter, Mabl, Appium. DevOps: Docker, GitLab, Bitbucket, Azure DevOps.
Current projects include Adobe CJA implementation and support, GA4/Heap/CJA dashboard development, tracking implementation on healthcare sites and apps, performance testing, API integrity testing, and automation suite maintenance.
Modea'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.