
NVIDIA DeepStream SDK
A comprehensive real-time streaming analytics toolkit for AI-based multi-sensor processing and video understanding.

Turning global physical data into actionable geospatial intelligence with AI-driven computer vision.

Orbital Insight, an Intermap company, represents the 2026 standard for Geospatial Intelligence (GEOINT) by merging satellite imagery, mobile location data, and IoT sensor streams. The core technical architecture, the GO Platform, utilizes advanced Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) to process petabytes of multi-source imagery. By 2026, the platform has matured its 'Geospatial Generative AI' interface, allowing users to query physical world changes using natural language. The system provides high-cadence monitoring of global economic activity, from retail parking lot occupancy and oil storage levels to illicit maritime activity and deforestation. Following its acquisition by Intermap Technologies, the tool now integrates high-precision 3D elevation models with its 2D imagery analytics, offering a vertically integrated stack for defense, energy, and financial sectors. It serves as a critical tool for ESG auditing, providing verifiable evidence of supply chain sustainability and Scope 3 emission indicators through land-use change detection.
Orbital Insight, an Intermap company, represents the 2026 standard for Geospatial Intelligence (GEOINT) by merging satellite imagery, mobile location data, and IoT sensor streams.
Explore all tools that specialize in detect objects. This domain focus ensures Orbital Insight delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze geospatial data. This domain focus ensures Orbital Insight delivers optimized results for this specific requirement.
Explore all tools that specialize in object detection. This domain focus ensures Orbital Insight delivers optimized results for this specific requirement.
Synchronous processing of Optical and Synthetic Aperture Radar (SAR) imagery to see through clouds and smoke.
Cross-referencing satellite ship detection with transponder data to identify 'dark vessels'.
Aggregated foot traffic data used to correlate physical site activity with satellite imagery.
Pixel-level classification of vegetation, water, and urban sprawl over time.
Recursive analysis of logistics hubs to map upstream and downstream supplier dependencies.
High-accuracy object counting using pre-trained computer vision models across diverse geographies.
Natural language interface for querying physical world changes using Large Language Models connected to geospatial databases.
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Authenticate via SSO or OAuth2 credentials.
Define Area of Interest (AOI) using GeoJSON upload or the platform's drawing tool.
Select data sources (Optical, SAR, AIS, or Mobile Location).
Choose AI algorithms (e.g., Car Counting, Land Use, or Ship Detection).
Configure 'Lookback' period for historical baseline comparison.
Set refresh frequency (Daily, Weekly, or Monthly) for automated monitoring.
Define alert thresholds for anomaly detection.
Integrate output via API or Snowflake Data Cloud.
Validate initial results using the platform's 'Human-in-the-Loop' verification tools.
All Set
Ready to go
Verified feedback from other users.
"Highly regarded for its multi-source data fusion and high-quality computer vision models, though noted for a steep learning curve and premium pricing."
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A comprehensive real-time streaming analytics toolkit for AI-based multi-sensor processing and video understanding.

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