Blackshark.ai processes petabytes of satellite imagery in hours, and it detects and segments objects, roads, vegetation, and other infrastructure on the surface of the planet without human intervention. This semantic information is used to create a comprehensive 3D digital representation of the world. Input sources supported: - satellite imagery - 2D photographs (aerial, street level, ...) - point clouds (photogrammetry or lidar) - HD map data - OSM - & more Examples for feature detection: - buildings (footprint, height, type, roof, orientation, facade) - vegetation - streets - land classification - flood detection - & more Blackshark.ai can also fully automatically and semantically reconstruct detected features in 3D, using a patented technology for efficiently storing and streaming petabytes of data. Blackshark.ai is a team of 100+ data scientists, geospatial engineers, 3D rendering programmers and developers, based in San Francisco, US, and Graz, Austria, Europe's computer vision hub. We are on a mission to answer questions such as: - Can my drone land in this backyard? - How many solar panels are installed in India? - How many tents does a certain refugee camp have? - How many cars are parked in a specific parking lot? What would you like to know? Blackshark.ai is backed by Microsoft's Venture Fund M12 and Point72 Ventures.