The World's First Spatiotemporal Knowledge Graph for Predictive Earth Intelligence
AstroGraph represents the pinnacle of 2026 Earth Intelligence, functioning as a high-performance Spatiotemporal Knowledge Graph (STKG) that indexes the physical world. Built on a decentralized architecture, it integrates petabytes of satellite imagery from constellations like Sentinel, Planet, and Maxar with real-time IoT and socioeconomic data. Technically, it utilizes Graph Neural Networks (GNNs) and Vision Transformers (ViTs) to convert unstructured raster data into structured, queryable entities. By the mid-2020s, AstroGraph has transitioned from a specialized defense tool to a foundational AI layer for global supply chains and climate risk assessment. It enables developers to perform 'Physical RAG'—providing Large Language Models with grounded, real-time spatial facts. Its architecture supports multi-modal fusion, allowing for the simultaneous analysis of hyperspectral data, SAR (Synthetic Aperture Radar), and ground-level telemetry. As a market leader, AstroGraph positions itself as the 'Google for Physical Assets,' providing the indexing layer for the global digital twin economy.
Uses H3 and S2 geometry libraries to index temporal sequences of 3D data across a graph structure.
The industry-standard Swiss Army Knife for point cloud data translation and manipulation.
Turning global physical data into actionable geospatial intelligence with AI-driven computer vision.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Generative AI models that convert Synthetic Aperture Radar (SAR) data into human-interpretable optical views.
Native connectors for vector databases to ground LLM responses in verifiable geospatial facts.
On-the-fly identification of ships, planes, tanks, and vegetation using specialized ViT architectures.
Synchronizes distilled graph nodes to edge devices for low-latency field operations.
Calculates the delta between graph states at T1 and T2 to identify structural changes.
Analyzes chemical signatures of materials on the ground via spectral band decomposition.
Identifying bottlenecks in port operations before they impact logistics.
Registry Updated:2/7/2026
Trigger alert if throughput drops 15%
Providing transparent, auditable proof of forest preservation.
Optimizing fertilizer use across millions of hectares.