Multi-INT intelligence and data solutions for U.S. defense operations
Celestar is a defense-focused analytics and intelligence services provider operating across three service lines: intelligence analysis, data enterprise solutions, and training. The tech stack reveals a heavy geospatial and signals intelligence foundation (ArcGIS, SOCET GXP, SAR, LiDAR, synthetic aperture radar) layered with modern analytics (Python, Tableau, Power BI, SAS) and cloud migration underway (AWS adoption, legacy server migration to AWS listed as a pain point). Security hiring dominates the staffing mix—roughly 48% of active roles—signaling either significant compliance scaling (CMMC Level 2, ISO 9001:2015 certified) or integration of Microsoft Sentinel and AWS Security Hub into customer delivery.
Celestar delivers intelligence analysis, data enterprise support, and training services to U.S. government customers globally. The company operates as a wholly owned subsidiary of Bart & Associates and specializes in all-source intelligence analysis, imagery and geospatial intelligence, signals intelligence, and advanced analytics across the Defense Intelligence Enterprise. The active project portfolio spans mission management, object-based intelligence production, cross-domain data dissemination, and intelligence exercise planning. Pain points center on enabling information sharing, closing intelligence gaps, and automating manual processes—consistent with a modernization arc from legacy systems toward cloud and automation.
ArcGIS, SOCET GXP, SAR, LiDAR, synthetic aperture radar, QGIS, and GIS form the core. Imagery analysis is paired with signals intelligence (SIGINT), human intelligence (HUMINT), and counterintelligence capabilities. Python, SAS, MATLAB, and advanced analytics tools enable analytical production.
AWS. The stack includes AWS and AWS Security Hub (recently adopted). Migrating legacy servers to AWS is listed as an active pain point, indicating ongoing cloud transition work.
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Celestar Holdings Corporation'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 →
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