Geospatial Intelligence
- Zorost Intelligence transforms geospatial data into mission-critical insights for defense, logistics, aviation, and urban planning. We integrate GIS, satellite feeds, mobility data, and terrain information with AI/ML pipelines to deliver real-time, context-rich intelligence that powers predictive decisions and spatial analytics at scale. - Whether you’re monitoring urban expansion, optimizing transit, or deploying defense resources, our solutions offer real-time situational awareness, multimodal geospatial reasoning, and simulation-ready frameworks. - What We Deliver:- Spatial AI & Terrain-Aware Modeling 
 Build AI systems that understand and reason over topography, elevation, obstruction zones, flood plains, and mobility corridors. Includes terrain segmentation, LiDAR classification, and DEM/DSM-based analytics.
- Geospatial Machine Learning 
 Apply convolutional neural networks and transformer-based models to satellite, drone, or radar imagery for object detection, deforestation monitoring, land classification, and pattern recognition.
- Interactive Geospatial Dashboards 
 Deliver intuitive web-based platforms that integrate real-time telemetry, mobility data, and raster/vector layers with AI-powered recommendations and alerts.
- Multimodal Geo-RAG Assistants 
 Deploy agents that query maps, answer spatial questions, simulate logistics or policy impact, and generate reports based on multimodal GIS data.
- Big Data Geospatial Processing 
 Use Databricks, Spark, AWS Lambda, and Microsoft Fabric pipelines to ingest, clean, and unify billions of spatial points in real-time. Apply geospatial joins, spatial indexes, and vector tiling at massive scale.
- Geospatial Digital Twin Platforms 
 Simulate infrastructure, urban growth, or mobility dynamics using agent-based models and live terrain integration—supporting policy testing, resilience planning, and public safety simulations.
 
Zorost’s Edge:
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Cloud-Native GIS Infrastructure: 
 Deploy scalable geospatial platforms using AWS SageMaker Geospatial, Azure Maps, Databricks Mosaic, or Snowflake Spatial for compute-efficient spatial reasoning.
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End-to-End Pipeline Design: 
 From remote sensing ingestion to ML deployment and dashboard visualization—our architecture spans ingestion (Event Hub, Kafka), transformation (DLT, SparkSQL), and AI modeling.
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Multimodal Geo-Intelligence Systems: 
 Our platforms combine imagery, telemetry, vector tiles, textual reports, and time series to build truly situational-aware geospatial intelligence tools.
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Real-Time Contextualization: 
 Leverage Microsoft Fabric Data Activator, Databricks Structured Streaming, and satellite API integrations for up-to-the-minute terrain change detection and mobility anomaly alerts.
Who is it forIndustries We Support:
Power reconnaissance and situational awareness tools with AI-augmented maps, object recognition, and route risk analysis.
Enable zoning intelligence, infrastructure simulations, and mobility planning using location-aware models.
Monitor flood zones, erosion patterns, wildfire propagation, and emissions patterns using satellite + predictive modeling.
Support obstruction analysis, airspace classification, and airport terrain assessments with AI-processed elevation data.
 
                    



