Custom software and web development with Microsoft and Sitecore partnerships
Iquality is a 30-year-old Dutch software house building custom applications, websites, and AI-driven tools for enterprise clients. The stack reveals a Microsoft-centric practice (Azure, .NET Core, Azure DevOps) paired with modern frontend tooling (React, TypeScript) and test automation (Selenium, Robot Framework). Current project work—including AutoGen agents for asset lifecycle management and an AI-driven performance testing framework—signals a shift toward AI-augmented development and operations, while pain points around manual asset management and post-deployment performance issues suggest the client base is maturing beyond simple web builds toward complex systems-integration work.
Iquality designs, develops, and maintains software, web applications, and mobile apps for mid-market enterprises in the Netherlands. Founded in 1994, the company operates as a Sitecore and Microsoft partner, offering both project delivery and dedicated multidisciplinary teams. Service lines include custom software development, content management platforms, business intelligence, AI integration, and training. Recent engagement patterns point toward asset management platforms, performance testing infrastructure, and chatbot/portal development for clients in financial services and heavy industry.
Primary stack: .NET Core, Azure, React, TypeScript, Kubernetes, and Azure DevOps. Testing: Selenium and Robot Framework. Infrastructure scripting: PowerShell, Bash, ARM, and Bicep templates for Azure automation.
Active projects include Microsoft AutoGen agents for asset lifecycle management, AI-driven performance testing frameworks, interactive dashboards for asset management, and portal/chatbot development. Notable client engagements with LeasePlan, Damen Shipyards, and FREO indicate focus on high-availability, scalable systems.
Iquality'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.