Payment systems infrastructure and services for banks and retail
AVEM operates a mature payments operations business across point-of-sale equipment, ATM networks, and fraud detection for French financial institutions and merchants. The tech stack is enterprise-heavy (SAP, Java/Spring, Kafka, Kubernetes) with no recent tool migrations or new platform adoptions, suggesting a stable, maintenance-focused organization. Active hiring is concentrated in support (6 roles) and legal/compliance (3), signaling operational scaling around fraud prevention and regulatory alignment rather than product innovation.
AVEM provides payment equipment, ATM management, and cardholder support services to French banks, retailers, and merchants. The company operates 80 service centers and 10 production facilities with approximately 2,000 employees. Core service lines include merchant point-of-sale systems, ATM and cash-handling operations, fraud prevention and cardholder assistance, retail equipment deployment, and IT support for banking networks. The business model balances equipment sales and installation with recurring managed-services revenue from field support and technical assistance.
AVEM's core stack includes SAP for ERP, Java with Spring/Spring Boot for backend services, Kafka for event streaming, Kubernetes and Docker for container orchestration, and MySQL/Oracle for data management. Frontend uses Angular and TypeScript.
Key priorities include integrating new payment technologies, managing GDPR compliance, improving incident response and operational performance, ensuring quality standards, and optimizing cost control across their distributed support and production network.
AVEM (Groupe)'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.