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blackshark.ai

Blackshark.ai provides a geospatial platform that generates real-time, photorealistic 3D digital twins of the Earth using satellite and aerial imagery processed through machine learning. This technology enables accurate visualization and analysis of global infrastructure, facilitating applications in urban planning, risk assessment, and simulation without the need for extensive coding expertise.

Graz, AustriaFounded 20207410K+ followers
Updated 4 months ago

Funding

$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Extracting detailed insights from geospatial data typically requires extensive manual data labeling and coding expertise, making it difficult to rapidly create and update accurate 3D models of the Earth's surface. Traditional methods struggle to process the volume of satellite and aerial imagery needed for global-scale analysis and real-time monitoring.

Solution

Blackshark.ai offers a geospatial platform that leverages machine learning to automatically generate photorealistic 3D digital twins of the Earth from satellite and aerial imagery. The platform uses AI-powered object detection and feature extraction to create a semantic, machine-readable database of planetary infrastructure. This enables users to visualize, simulate, and analyze global infrastructure without needing specialized coding skills. The platform's cloud-computing capabilities facilitate rapid updates and integration with existing simulation environments and render engines.

Target Audience

The primary customers include organizations in urban planning, simulation and training, insurance risk analysis, and the metaverse, as well as government entities requiring large-scale geospatial intelligence.

Features

  • AI-based object detection and attribute extraction from satellite and aerial imagery
  • Patented no-code data labeling solution for rapid machine learning training
  • Generation of georeferenced 3D vector maps with accurate building heights and vegetation coverage
  • SYNTH3D capability for creating realistic synthetic environments with terrain elevation, buildings, and vegetation
  • Digital Airport generator technology for recreating airports with high levels of detail
  • ORCA™HUNTR tool for identifying objects on the Earth’s surface with AI
  • Support for industry-standard export formats for integration with Unreal Engine and Unity
  • Geospatial analytics service for change detection, risk analysis, and disaster relief planning
This profile is AI-generated and may contain inaccuracies.