Custom software delivery for enterprise and mid-market operations
Droisys is a full-service software development provider built around end-to-end delivery of tailored solutions across CPG, retail, healthcare, and gaming. The stack is enterprise-grade (Java, Spring Boot, .NET, Oracle, SQL Server, PostgreSQL) with cloud deployment across AWS, Azure, and GCP—typical infrastructure for large-scale systems integrations. Heavy hiring in engineering and data roles signals sustained demand for complex technology initiatives and cross-domain integration work, areas explicitly called out in their active projects and pain-point list.
Droisys delivers custom software and application management for mid-market and enterprise customers across six continents. Founded in 2003, the company operates distributed teams onsite, remote, and offshore to support around-the-clock execution. Their service model spans custom application development, systems integration, data migration, security, and emerging technology enablement (AR, wearable tech, IoT). Primary verticals include consumer packaged goods, retail, healthcare, and gaming, where they specialize in solving operational and cross-functional business challenges through software design and implementation.
Core stack includes Java, Spring Boot, .NET, ASP.NET Core, React, Angular, and Vue on the application layer; AWS, Azure, and GCP for cloud infrastructure; Oracle, SQL Server, and PostgreSQL for databases; Jira and Azure DevOps for CI/CD; and IBM DataPower and IBM Integration Bus for enterprise integration.
Las Vegas, Nevada. The company operates distributed teams globally across the United States, India, and Peru to support customer delivery.
Droisys'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.