NSI is a service-disabled veteran-owned contractor serving the Navy and Marine Corps with engineering, operations, and logistics expertise. The tech stack—Azure Government, Intune, Databricks, Tableau, Python, and .NET—reflects a government-compliant infrastructure handling data analytics and systems engineering. Active hiring across engineering, ops, and logistics (34 roles in 30 days, accelerating velocity) paired with project focus on program offices, sustainment strategy, and obsolescence mitigation signals ramping capacity for sustained government contracts.
Naval Systems, Inc. operates as a service-disabled veteran-owned small business supporting Naval Air Systems Command with headquarters in Lexington Park, Maryland, and field locations near NAS Patuxent River (Maryland), Cherry Point (North Carolina), Jacksonville (Florida), and China Lake (California). The company employs 201–500 people and specializes in program management, systems sustainment, and logistics optimization for Navy and Marine Corps platforms. Core challenges include maintenance planning, acquisition schedule management, DOD 5000 compliance, CMMC and NIST documentation, and inventory optimization—typical pain points for contractors managing legacy defense platforms.
NSI uses Azure Government, Intune, Microsoft Project, Databricks, Tableau, Python, C#, .NET, ColdFusion, Qlik, Trifacta, Power Apps, Power Automate, and Adobe Creative Cloud—a blend of government-approved cloud, BI, data engineering, and enterprise development tools.
Lexington Park, Maryland, minutes from Naval Air Station Patuxent River. NSI also operates locations in Cherry Point (NC), Jacksonville (FL), and China Lake (CA).
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Naval Systems, Inc. (NSI)'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.