AI and cybersecurity solutions for federal health and national security agencies
Unissant is a federal contractor delivering AI, advanced analytics, and cybersecurity to health and national security agencies. The tech stack (Java, Spring Boot, Kafka, AWS MSK, React, Angular) reflects a mature enterprise platform focused on mission-critical systems. The hiring surge is heavily weighted toward senior engineers and security specialists, with active projects spanning legacy modernization, AI enablement, and multi-cloud architecture—signaling both infrastructure modernization and a push to operationalize AI models across federal environments.
Notable leadership hires: Program Director
Founded in 1999, Unissant serves U.S. federal agencies in health, defense, and national security with data analytics, AI solutions, and cybersecurity services. The company operates at enterprise scale, delivering complex projects including legacy system modernization, compliance-driven security exercises, and AI model development for government customers. Their technical foundation combines Java and Spring-based backend systems with modern frontend frameworks (React, Angular) and streaming infrastructure (Kafka, AWS MSK), supporting agencies managing sensitive mission workloads.
Unissant uses Java, Spring Boot, Kafka, AWS MSK, React, Angular, Hibernate, GitLab, Jenkins, and Harness. The stack spans backend enterprise development, data streaming, and CI/CD—typical of large-scale federal systems engineering.
Current projects include legacy application modernization, AI enablement center setup, multimodal AI solutions, cybersecurity exercises, multi-cloud architecture, and integrating AI into existing federal systems.
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Unissant'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.