DESE Research conducts applied research and engineering for defense, space, and aerospace customers. The tech stack reveals a mature infrastructure operation—NetApp, VAST Data, Veritas NetBackup, Nutanix, and virtualization layers (KVM, Hyper-V, VMware NSX)—paired with engineering tools (MATLAB, PTC Creo/Windchill, Python, C++) and web services (ASP.NET Core). Active hiring is engineering-focused (4 of 5 roles) at mid-to-senior levels, with concurrent work on legacy application modernization and aerospace manufacturing tooling, suggesting a company balancing government contract delivery with internal infrastructure and process optimization.
DESE Research is a veteran-owned small business founded in 1982, headquartered in Huntsville, Alabama, with 51–200 employees. The company provides systems engineering, modeling and simulation, software development, and electrical engineering services to government and defense-industrial customers. Current project portfolio spans aerospace vehicle manufacturing support, ground operations tooling, and modeling simulations for guided missile defense programs. Internally, the organization is addressing legacy application modernization (ASP.NET Framework to Core), invoice processing accuracy, and multi-vendor storage management.
DESE uses NetApp, VAST Data, Nutanix, and Veritas NetBackup for storage and backup; KVM, Hyper-V, and VMware NSX for virtualization; Ansible and Terraform for infrastructure; MATLAB, Python, and C++ for engineering; PTC Creo and Windchill for design; and GitLab, Jenkins, and Jira for CI/CD.
DESE Research is headquartered in Huntsville, Alabama, and was founded in 1982 as a veteran-owned small business.
Other companies in the same industry, closest in size
DESE Research, Inc.'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.