Blackshark.ai is excited to be founding member of the newly formed Metaverse Standards Forum as announced on the official website today. There are several great standards to represent scenes and move data across environments, and we believe we can contribute to a more open “metaverse” or to interoperable “metaverses” by sharing our grammar that can be extended to describe objects in the real world. This ensures consistency and portability of how objects and their associated properties are represented across different implementations for metaverses. We look forward to working together with the members of this Forum.
Maxar’s strategic investment layers its best-in-class satellite imagery with Blackshark.ai’s semantic 3D geospatial platform to provide rapidly updated, comprehensive geospatial intelligence and 3D representation at global scale.
We’re thrilled to announce that Blackshark.ai geospatial analytics and change detection capabilities, called Orca, are accessible via Microsoft Azure now. The Orca services are designed to integrate with several Azure services, especially Azure Synapse for end-to-end data pipeline manipulation and automated updates on geospatial insights.
Blackshark.ai is presenting their end-to-end Geospatial Analytics and 3D Synthetic Environment Platform at I/ITSEC at the Microsoft booth #1973 in Orlando this year. If you are interested in geospatial intelligence or the future of synthetic training & simulation environments you should definitely stop by and talk to us.
Blackshark.ai, creator of first semantic 3D digital twin of entire Earth, announces $20M funding round led by Microsoft’s venture fund M12 and Point72 Ventures. Google Earth co-founder Brian McClendon, former Airbus Defense and Space CEO Dirk Hoke and CEO of Applied Intuition Qasar Younis join as advisors to the board
Blackshark.ai to provide semantic, photorealistic 3D digital twin of the entire planet as plugin for Unreal Engine
Blackshark.ai are the brains behind a vast open world and semantic 3D map as seen on TechCrunch. Accomplishing this global-scale 3D representation of our planet requires massive cloud computing, a novel approach to Artificial Intelligence for feature detection and procedural rendering technology, all combined creating a photorealistic 3D digital twin of our world, generated automatically from satellite imagery as input data only.