Federal logistics and acquisition support with geospatial and sensor data analytics
Kalman & Company operates a federal services business rooted in logistics, acquisition support, and program management, with active expansion into data analytics and geospatial intelligence. The tech stack reveals a hybrid profile: mature geospatial tools (ArcGIS, Google Earth, ENVI) alongside scientific computing (MATLAB, Python, TensorFlow, Vertex AI), suggesting a shift toward AI-driven sensor data processing and mission planning. Current hiring velocity is accelerating across ops and logistics, with emerging demand for data roles—a pattern consistent with their active projects in airborne sensor integration, real-time monitoring, and GIS automation.
Kalman & Company, founded in 1986, provides acquisition, program analysis, logistics, and process improvement services to federal and commercial clients across 40+ domestic and international locations. The company operates across multiple domains: warehouse and inventory operations, real-time data processing during high-security events, and technical program management. Core service lines include business analytics, acquisition support, and management services. The workforce is concentrated in operations and logistics roles, with growing investment in data and research capabilities to support increasingly complex sensor and geospatial intelligence projects for defense and civilian agencies.
Kalman uses geospatial tools (ArcGIS, Google Earth, ENVI), scientific computing (MATLAB, Python, TensorFlow, Vertex AI), Microsoft Power suite (Power BI, Power Apps, Power Automate), and specialized logistics software (WMS, @Risk). Currently adopting Power Apps for internal process automation.
Active projects include consolidated storage programs, Army C5ISR initiatives, infrared line scanner implementation, GIS automation for Google Earth and ESRI, AI training set development, airborne sensor system integration, and real-time data acquisition and monitoring for defense and civilian agencies.
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Kalman & Company, 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 →
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