About Us

Global Orbital Imaging has harnessed state-of-the-art technology to deliver real-time encrypted imagery and precise object identification with advanced tracking capabilities. Our array of over 2,000 models is meticulously crafted to detect and categorize an extensive range of over 2 million objects, with ongoing expansion efforts in place. This accomplishment is made possible through the utilization of diverse machine learning models, frameworks, and networks, which seamlessly operate across a multitude of satellite, airborne, drone, and terrestrial sources. Our solutions are highly adaptable and can be seamlessly deployed in government clouds, as well as bare metal and hybrid environments. Furthermore, the scalability of our technology spans from a single machine equipped with an Nvidia GPU supporting CUDA to an infinitely scalable cluster.

The robust inference engine can be seamlessly tailored to meet the demands of speed, size, and intricate use cases. The GOi UI offers a comprehensive visual representation of object detections within a user's programs and projects, as well as any publicly shared detections. By presenting these detections geospatially and temporally, users can meticulously verify model outputs, conduct in-depth data analysis, and delve into further details about the detected objects. This empowers users to gain profound insights into the objects that the models would have detected with varying levels of precision and recall. Vision is meticulously crafted to cater to a diverse array of scenarios, encompassing broad area search, rare object identification, and trend analysis.

Through the integration of our extensive satellite image archive and our advanced 3D technologies, we are able to produce highly detailed and precise visualizations of terrestrial objects. These visualizations are invaluable for a wide range of applications, including simulation, training, navigation, network planning, and other complex environments.

The GOi geospatial enterprise is based on the concept of standard sharable geospatial foundation, which facilitates the seamless sharing of geospatial information across different levels. This framework is particularly crucial for creating detailed 3D maps of urban areas to support various Army platforms and applications. However, there are significant technology-related challenges that need to be addressed, particularly in the development of enriched information for combat activities, from training to actual operations. This enriched information may include detailed street names, symbols representing unit positions, and precise digital coordinates for routing and targeting.