Computational Physics, Inc. operates deep within the U.S. government R&D ecosystem, building and maintaining precision timing networks, RF/optical systems, and satellite ground data processing infrastructure. The tech stack is production-hardened government-grade (Red Hat, VMware, Ansible, Docker, Prometheus) rather than cloud-native, and active projects cluster tightly around timing-system design, validation, and integration—suggesting CPI is executing on a multi-year infrastructure modernization contract rather than exploring new markets.
Computational Physics, Inc. is a privately held R&D contractor founded in 1984, headquartered in Springfield, Virginia. The company provides basic and applied science support to U.S. Department of Defense, civilian government agencies, federally funded research centers, universities, and defense primes. CPI's core competencies span atmospheric radiative transfer, remote sensing, ionospheric physics, space weather, and satellite ground data processing. Recent work centers on deployment and maintenance of precision timing and astrometry networks, RF electronics and optical fiber systems, and validation of two-way satellite time transfer and fast time transfer systems. The company operates within the compliance and contracting framework of government prime work (OFCCP, EEO, FAR/DFARS).
CPI is actively developing and validating precision timing networks, RF/optical fiber systems for time dissemination, and future VLBI (very-long-baseline interferometry) capabilities. Projects include design of two-way satellite time transfer and fast time transfer systems, atomic frequency standard validation, and integration into existing timing infrastructure.
CPI operates on Red Hat Enterprise Linux, VMware vSphere, Ansible, Docker, Prometheus, Grafana, and Elasticsearch for infrastructure. Scientific and engineering work uses MATLAB, Python, ArcGIS, Java, and C++. Network and security tools include Active Directory, Trellix, Microsoft Defender, SolarWinds, and firewalld.
Other companies in the same industry, closest in size
Computational Physics, 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.