Composable fintech platforms for banking, insurance, and leasing
Altkom Software builds domain-specific software for financial institutions across Europe and the GCC, with deep expertise in banking, insurance, and leasing workflows. The tech stack reveals a Microsoft-centric cloud strategy (Azure, Dynamics 365, Power Platform) paired with observability tooling (Dynatrace) and modern mobile development (Kotlin, Android, Jetpack Compose), indicating a shift toward cloud-native, componentized architectures. Hiring is heavily engineering-skewed (27 of 33 active roles) with senior-level emphasis, and the project mix—mobile scaling, CI/CD pipeline work, legacy system transitions—signals technical infrastructure modernization underway.
Notable leadership hires: Lead Generation Specialist
Altkom Software is a privately held fintech software firm founded in 1998, headquartered in Warsaw, Poland, with 201–500 employees. The company designs and delivers software solutions for banks, insurers, and leasing providers, with three core product lines: Altkom Insurance Suite (product lifecycle and operations), Altkom Digital Banking Platform (customer-facing digital channels), and Altkom Digital Leasing Platform (modular workflow automation). Clients span Europe and the Gulf Cooperation Council region. The engineering organization is structured around composable architecture principles and cloud-native development, with active work on mobile solutions, multi-tenant system adaptation, and migration away from legacy platforms.
Primary stack: Azure (Functions, Service Bus, Event Grid), Dynamics 365 with Power Platform (Power Apps, Power Automate), C#, Python, and Kotlin. Observability via Dynatrace. Testing via Selenium and Playwright. Workflow automation via Camunda.
Active projects include mobile app scaling, CI/CD pipeline implementation, bank and insurance client system development, Dynatrace observability deployment, legacy system transitions, and unified data model implementation across multiple clients.
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Altkom Software'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.