Elevate Aviation Group operates a fully integrated platform spanning aircraft management, charter operations, acquisitions, maintenance, and consultancy for high-net-worth individuals, Fortune 500 companies, and professional sports teams. The tech stack reveals a modern product organization: React/React Native frontends, Python/TypeScript backends, ML infrastructure (TensorFlow, PyTorch, scikit-learn), and AWS/GCP cloud deployment. Hiring velocity is accelerating across ops and sales, with active projects spanning mobile platforms, web portals, and sales enablement—suggesting a shift toward scaling client acquisition and operational automation alongside product development.
Elevate Aviation Group is a privately held aviation services company founded in 1995 and headquartered in Miami Beach, Florida, with offices on four continents. The company serves as an end-to-end platform for private aviation logistics, offering aircraft management, charter operations, aircraft acquisition and disposition, maintenance services, and aviation consulting. Clients range from entertainment industry figures and Fortune 500 executives to professional sports teams. The organization operates at 201–500 employees and maintains long-standing customer relationships, including serving its original client since founding.
Frontend: React, React Native, Figma. Backend: Python, TypeScript, JavaScript, GraphQL. Cloud: AWS, GCP. Data/ML: Pandas, NumPy, scikit-learn, TensorFlow, PyTorch. Operations: Salesforce, HubSpot, Jira, ClickUp. Testing: Cypress, Playwright, Selenium, Appium, pytest.
Active projects include NHL team charters, a mobile jet app, web portal enhancements, client and operational tools, enterprise business applications, internal workflow improvements, and sales playbook development. Projects reflect a focus on mobile-first platform scaling and sales enablement.
Other companies in the same industry, closest in size
Elevate Aviation Group'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.