Geospatial AI has been used across business industries in developed countries, including agriculture, insurance and asset monitoring, energy sector. It is also becoming a major source of data in fragile countries of insufficient statistical capacity, often to solve complex challenges, such as mapping critical infrastructure or responding to humanitarian challenges. While national spatial agencies often lack high resolutions satellite data, and commercial data is expensive, a combination of tools, human in the loop annotation services and computer vision, allow make these projects possible.