Communications and IT infrastructure for federal agencies and first responders
Chartis Federal operates a specialized IT services practice focused on federal, homeland security, and law enforcement operations. The company is engineering-heavy (6 of 7 active hires are engineers, mostly senior-level), with an active project portfolio around wireless network modernization and IP telecommunications backhaul—suggesting depth in both infrastructure modernization and mission-critical network reliability. The pain-point cluster around legacy communications systems, 24x7 operational support, and cybersecurity compliance indicates customers reliant on aging infrastructure under strict regulatory and operational constraints.
Chartis Federal provides technology services to U.S. federal agencies, homeland security, first responder organizations, and law enforcement. The company was founded in 2008 and operates from McLean, Virginia with 51–200 employees. Core service lines span enterprise optimization, software solutions, IT infrastructure, land mobile radio (LMR) systems, and cybersecurity. Active work centers on modernizing legacy communications networks, deploying IP-based wireless systems, and improving network performance and reliability in mission-critical environments. The customer base requires around-the-clock operational support and strict adherence to compliance frameworks.
Primary stack: Python, JavaScript, Bash, Cisco, Juniper networking, SQL Server, PostgreSQL, ArcGIS (for geospatial planning), Fusion 360/SolidWorks (design), ServiceNow, Remedy IT Service Management, and VMware virtualization. Also uses PX4 and ArduPilot (UAV frameworks).
Primary projects: modernizing communications system networks, developing IP network architectures for telecommunications backhaul, modernizing wireless communication systems, and deploying field wireless networks for federal and first-responder customers.
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Chartis Federal'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.