C3EL builds and operates multi-classification command centers for DOD and NATO commands, with a tech stack anchored in enterprise networking (Cisco, Juniper, VMware, SQL Server, Oracle) and VoIP/unified communications (Avaya, Cisco Unity, Viasat). The hiring acceleration and project mix—DISA support, VoIP migrations, enterprise voice modernization, and DIACAP/RMF compliance—reflect ongoing infrastructure upgrades across legacy systems. The ops-heavy department structure (14 roles) suggests hands-on, 24/7 operational demands typical of mission-critical command infrastructure.
C3EL is a women-owned small business headquartered in Tampa, Florida, specializing in command-center design, deployment, and operations for U.S. military and NATO commands worldwide. The company employs engineers, technicians, logisticians, and support staff with prior military backgrounds, and senior leadership deploys directly with field teams. Core projects span infrastructure modernization, DISA global operations support, unified communications and disaster-recovery solution development, and compliance-critical work around DIACAP and RMF frameworks. The business operates across multi-classification defense networks and supports both stateside and theater operations.
VMware, Cisco (Unified Communications Manager, Unity Connection, Unified Border Element), Juniper, Avaya, Oracle, SQL Server, Active Directory, and VoIP infrastructure (Viasat). Currently adopting PowerShell and VBScript for automation.
Infrastructure upgrades, DISA global operations center support, unified communications and disaster-recovery solution development, VoIP migrations (VoSIP, enterprise voice modernization), and DOD-compliance work (DIACAP, RMF, DISN SLA adherence).
C3EL'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.