AI and cloud modernization for federal health and defense agencies
Unissant serves U.S. federal agencies in health and national security with AI, analytics, and cloud migration work. The tech stack is enterprise Java (Spring Boot, WebSphere, WebLogic) paired with modern web frameworks (Angular, React, Vue) and Python/R for analytics—typical of organizations bridging legacy and cloud. Active adoption of AWS, Azure, GCP, and GovCloud across 10+ concurrent modernization projects signals a shift toward multi-cloud infrastructure for mission-critical systems. Hiring is heavily weighted to senior engineers (16 of 24 roles), indicating either retention challenges in a demanding federal environment or rapid scaling of complex transformation work.
Unissant is a 51–200-person contractor based in Herndon, Virginia, focused on federal customers in health IT, national security, and enterprise operations. The company applies data analytics, AI, and cybersecurity expertise to help government agencies modernize legacy applications and migrate workloads across multiple cloud platforms. Core projects center on digital transformation (modernizing JEE applications, building AI-driven chatbots and virtual assistants, implementing RAG-based systems) and multi-cloud architecture for interoperability across classified environments. Founded in 1999, Unissant operates in a highly specialized vertical where regulatory compliance, security clearances, and domain knowledge create high switching costs and deep customer relationships.
Java (Spring Boot, Hibernate, WebSphere, WebLogic), Angular/React/Vue, Python, R, SQL, Git/GitLab, Jenkins, AWS/Azure/GCP. Currently adopting GovCloud and RAG techniques.
Digital transformation and cloud modernization for federal clients: legacy application migration, multi-cloud interoperability, AI/ML model development, chatbot/virtual assistant platforms, and RAG-based systems integration.
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