Management and technology consulting for public-sector and defense clients
UNCOMN is a Scott Air Force Base consultancy delivering cloud, data and logistics work for government clients. Its stack pairs Azure Government Cloud and AWS with Kubernetes, Helm and GitLab CI/CD, while it adopts Terraform alongside Bicep, pointing to a push toward codified, compliance-ready infrastructure. Hiring is accelerating and spans engineering, data and legal, a sign the firm is building in-house contracts and compliance capacity as well as delivery talent.
UNCOMN, founded in 2011 and privately held, provides management and technology consulting services to the public sector from its headquarters at Scott Air Force Base, Illinois, in the greater St. Louis region. The firm has 201–500 employees and hires in the United States. Its practice areas include data science, business architecture, systems engineering, agile development, cybersecurity and supply chain solutions. Delivery work covers cloud infrastructure, data platforms built on Databricks and Palantir Foundry, and logistics analysis. The company also invests in and mentors SixThirty CYBER, a regional program that supports cybersecurity startups.
UNCOMN uses Azure Government Cloud, AWS, Kubernetes, Helm, GitLab CI/CD, Terraform, Bicep, Databricks, Palantir Foundry, Qlik, Python, Scala, Java and .NET/C#, with Jira and Azure DevOps for delivery.
UNCOMN is headquartered at Scott Air Force Base, Illinois, in the greater St. Louis region, and hires in the United States.
Current work includes enterprise cloud infrastructure deployment, CI/CD pipeline development, containerized workload support, scalable data pipelines for analytics and ML, and government contracting advisory.
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UNCOMN'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.