European urban mobility operator with autonomous vehicle expansion
Moove Cars operates a large-scale ride-hailing and fleet management network across Europe and the US, running 19+ operational centers and managing 10,500+ staff. The tech stack is heavily Azure-centric (DevOps, App Service, Functions, Storage) with Python, Spark, and Hadoop for data processing—a mature infrastructure choice for high-volume transactional systems. Active projects cluster around compliance (ISO 27001, GDPR, privacy by design) and payroll digitalization, with simultaneous pressure on fleet connectivity and device lifecycle management, suggesting operational complexity at their scale.
Notable leadership hires: Head of Operations
Moove Cars is Europe's largest urban mobility operator, managing ride-hailing and fleet services across Spain, Italy, France, and the Netherlands. Founded in 2018, the company has expanded into the US through AVOMO, a subsidiary operating autonomous vehicles. The organization combines traditional fleet operations with proprietary tech for booking, routing, and vehicle management. With 5,001–10,000 employees across 19 operational centers, Moove Cars handles real-time dispatch, driver and vehicle management, and multi-country payroll at scale. The business model emphasizes operational efficiency, safety, and sustainability alongside technology adoption.
Moove Cars runs primarily on Azure infrastructure (DevOps, App Service, Functions, Storage, Networking), with Python, Apache Spark, and Hadoop for data pipelines. Mobile apps are built on iOS and Android with Flutter/Dart. Backend services use .NET Core, SQL Server, and Docker/Kubernetes. Analytics rely on Power BI and Tableau.
Moove Cars operates 19+ centers across Spain (13 cities), Italy, France, and the Netherlands, with US expansion via autonomous vehicle operations through AVOMO. Hiring is currently focused on Spain.
Moove Cars'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.