Information Technology and Services - Goodyear, Arizona, United States
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems. Our expert RF (SAR, Infrared, Electro-Optical) systems engineers and data scientists translate physics-based and nonlinear (Artificial Intelligence/Machine Learning) methods using advanced modeling and simulation tools. These outputs are used by software developers who develop, integrate, test and deploy higher order, scripting or tool language into software code executable in mission environments using cloud, on-premise or edge computing resources. Our unique brand of agile systems software engineering delivers innovative high-quality software capability fast using sustainable and repeatable model-based techniques. The company core is deeply rooted in science and technology with strong qualifications in radar systems and specifically Synthetic Aperture Radar (SAR) systems. The company headquarters and center of operations is located on the Goodyear, Arizona campus once occupied by Goodyear Aerospace, Loral Defense Systems, and Lockheed Martin. It was at this campus where SAR was patented by Carl Wiley, Goodyear Aerospace, in 1951. With our radar technology base, PSG specializes in the ground processing of remote sensing data (SAR, electro-optical, Infrared, and hyperspectral). In this practice we focus on algorithm development and deployment to transform sensor data into usable intelligence for military and commercial uses. This includes imaging, polarimetrics, change detection, object identification, moving target indication and automatic target recognition. PSG thrives on innovative technology insertion and embraces the digital transformation brought on by the Information Age. Technologies such as Big Data, Internet of Things, cloud, Artificial Intelligence and Machine Learning are used to build on our software and algorithm product portfolio. Our discriminator is our unique brand of Agile Systems Software Development processes.
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