Mobile app studio with 30+ apps across fitness, productivity, and learning
Air Apps is a multi-app publisher operating across fitness, productivity, creativity, and learning verticals with 3 million monthly active users and 100 million cumulative downloads. The tech stack spans AWS, Azure, GCP, and a full polyglot backend (Node.js, Python, Java, .NET) paired with modern frontend frameworks—a scale-out architecture for distributed app operations. Marketing dominance in hiring (41 of 122 active roles, with 91 posted in the last 30 days) reflects a growth-stage company focused on user acquisition and app store optimization, supported by active projects in A/B testing, creative asset validation, and app store performance analysis.
Air Apps develops and publishes mobile applications in fitness, productivity, creative, and learning categories, reaching 3 million monthly downloads across iOS and other platforms. Founded in Lisbon in 2018, the company now operates offices in Lisbon and San Francisco, serving global users with a portfolio of over 30 apps. The engineering organization runs on a polyglot stack (Node.js, Python, Java, .NET) deployed across AWS, Azure, and GCP, with supporting infrastructure in Docker, Kubernetes, and Terraform. The company is scaling rapidly across product development, marketing, design, and operations, with active hiring in the US, Portugal, France, and broader European markets.
Air Apps uses AWS, Azure, and GCP for cloud infrastructure, with Node.js, Python, Java, and .NET for backend services. Frontend development spans React, Angular, and Vue, containerized via Docker and Kubernetes, with Terraform and CloudFormation for infrastructure automation.
Air Apps has generated 100 million total downloads globally and maintains 3 million monthly active users across its portfolio of 30+ applications.
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Air Apps'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.