The Satellite Imagery Analytics Department is the result of the new ambition of QuantCube Technology: the conquest of Space, and the innumerable opportunities offered by these new sets of data. Taking advantage of our past experience in the development of AI algorithms for multiple sources of unstructured data, we have applied Deep Learning techniques to extract valuable insights from images collected by satellites and drones.
We have developed and implemented advanced Deep Learnings algorithms that outperform traditional approaches for the analysis of Aerial and Satellite Imagery, especially for the systematic identification of different elements such as buildings (with functionality), large and small vehicles, crops, roads, manmade structures…
To always be at the forefront of innovation in the field of aerospace Analytics, we have partnered with strategic institutions and top R&D laboratories to work on collaborative projects and keep improving the Research on the subject. Our R&D team ranked among the best teams in Computer Vision Analytics in the latest Data Science competitions.
Our analytics can be used for multiple applications: monitoring of the stock and flow of commodities and goods for Global Macro predictions, evolution of crops growth and flaring detection for Commodities investments, tracking of construction and activity in urban environments, and much more.