Government analytics and data modernization for federal agencies
Praescient Analytics is a veteran-led, woman-owned consulting firm built by former intelligence analysts and software engineers now focused on federal data modernization. The company is scaling aggressively—103 open roles with 72 posted in the last 30 days—concentrated in data (35), engineering (28), and security (21), signaling a shift from pure advisory toward embedded technical delivery. Active work spans Army intelligence platforms, DoD task orders, and cross-domain secure data systems, anchored in a Java/Spring/AWS stack that handles classified network constraints and geospatial processing.
Notable leadership hires: Chief System Engineer
Praescient Analytics provides analytics, platform integration, custom development, and training services to U.S. federal agencies and select commercial clients. The company was founded in 2011 by former intelligence professionals and operates from Fairfax, Virginia with 51–200 employees. Core technical offerings include data integration and transformation across classified and unclassified networks, cloud migration of legacy systems, and mission-critical analytics infrastructure. Recent project activity centers on Army intelligence data platforms, enterprise data frameworks, and secure cross-domain solution (CDS) integration, with heavy emphasis on CI/CD automation and cloud-native modernization.
Java, Spring Boot, Spring Batch, React, PostgreSQL, AWS (RDS, CodePipeline, CloudWatch), Oracle, Elasticsearch, Splunk, Jenkins, and GitLab CI/CD. Recently adopting Synthetic Aperture Radar (SAR) for geospatial work.
Federal data modernization, Army intelligence data platform (AIDP), DoD task orders, enterprise data frameworks, secure cross-domain solution integration, and cloud-native ecosystem modernization for classified and unclassified environments.
Praescient Analytics'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.