Cybersecurity and data platform solutions for U.S. federal agencies
NetCentrics builds cybersecurity, cloud, and data/AI infrastructure for federal government missions. The tech stack—Palantir Foundry, Kafka, Spark, Kubernetes, AWS/Azure/GCP, plus ServiceNow and Confluence—reflects a systems integrator focused on mission-critical analytics and operational data pipelines. Active projects center on Palantir Maven integration, real-time analytics, and ML-into-operations workflows, while hiring is engineering-heavy (7 of 8 open roles) at senior and lead levels, signaling growth in platform architecture and integration depth.
Notable leadership hires: Chief Architect
NetCentrics is a federal government technology contractor headquartered in Herndon, VA, with 51–200 employees. Founded in 1995, the company specializes in cybersecurity, cloud security, cloud migrations, and data/AI solutions for U.S. government agencies. Core competencies include computer network defense, cyber advisory services, and staff augmentation. The product roadmap is anchored in Palantir Foundry deployments, enterprise data pipelines (Kafka, Spark, Terraform), and integration of machine learning into operational workflows—all under strict security and federal compliance constraints. Internally, the company is addressing manual intake and project-lifecycle bottlenecks, particularly around cross-platform collaboration and scalable data architecture for multi-source intelligence.
Palantir Foundry, Kafka, Apache Spark, Kubernetes, AWS/Azure/GCP, ServiceNow, Confluence, Python, Java, Terraform, and DLP. Recently adopting RAG for retrieval-augmented generation workflows.
Palantir Maven Smart System integration, real-time analytics platforms, scalable data pipelines for multi-source intelligence, machine learning integration into operational workflows, and ServiceNow-Confluence-WordPress workflow automation for mission systems.
NetCentrics'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.