Blackshark.ai provides powerful insights into the world by extracting information from satellite imagery fully automatically. A scalable artificial intelligence builds the core of the blackshark platform, detecting features with incredible precision and speed. A novel machine learning approach was developed to train a neural network for new features rapidly, enabling blackshark to serve various use cases in many different industries. 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.
Graz, Austria
earth observation, aerospace & defense, space tech, virtual sensor simulation, autonomous driving, autonomous flying, smart city, location intelligence, GIS, wireless signal propagation, artificial intelligence, 3D, augmented reality, virtual reality, emergency planning, government, real estate, energy, computer vision, spacetech, geospatial, geospatial, government, mapping, and metaverse