AI, data analytics and cybersecurity services for federal health and defense agencies
Unissant is a Herndon-based government IT contractor whose stack pairs ML frameworks (TensorFlow, PyTorch, SageMaker) with a mature DevOps and observability toolchain (Kubernetes, ArgoCD, Harness, Dynatrace, Splunk). Accelerating, senior-heavy hiring across engineering, data and security, plus Palantir-style pipeline and ontology work, points to a growing defense data practice alongside RAG-based AI builds.
Notable leadership hires: Project Lead, Program Director
Unissant is a privately held IT services firm founded in 1999 and headquartered in Herndon, Virginia, with 51–200 employees. It serves government agencies focused on health and national security, delivering AI, advanced analytics, digital services and cybersecurity. Its work spans data pipelines, cloud modernization, application interfaces and reporting solutions, built largely on AWS with tools such as Redshift, EMR and SageMaker. Hiring is concentrated in the United States.
Unissant uses AWS (SageMaker, Redshift, EMR, ECS), TensorFlow, PyTorch, scikit-learn, Kubernetes, Terraform, GitLab CI/CD, ArgoCD, Harness, Splunk, Dynatrace, Tableau and Power BI.
Yes. Hiring is accelerating and led by engineering, data and security roles, skewed toward senior and lead-level talent, all based in the United States.
Current projects include a RAG architecture, a global force management data initiative, large-scale data pipelines and ontology development, cloud modernization, and FMTS application interface development.
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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.