One Digital World
A cloud geovisual data management platform featuring multisource 3D data and AI-powered analytics.
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Nationwide high-resolution RGB library for rich visual experience and superior analytics. Support for LiDAR and other sensors, across satellite, aerial and terrestrial capture methods.
Our advanced tiling enables fast and easy navigation on a global scale with enhance 3D visualization so you can see and measure the important details right on your screen.
Leveraging the power of AI and our unique data sets, you can understand assets as never before.
3rd party developers can leverage the power of our platform and unique data offerings to create world-class analytics solutions across industries and use cases.
Addressing key business challenges
- Geovisual data management: Manage multisource geovisual data in a centralized system.
- Asset record correlation: Reconcile records and geolocate assets in the field.
- Vegetation management: Automate vegetation encroachment baseline and analyze right of way.
- Fire risk assessment: Visually inspect assets, analyze fire break clearance, and more.
Extract more value from your data
Accelerate insight and achieve business goals with integrated third-party analytics.
- Unify data for easier access and streamlined analysis
- Solve complex use cases with reliable intelligence
- Boost productivity with actionable insights
- Accelerate day-to-day operations with enterprise workflows
- Optimize asset and risk-management operations
- Maximize GIS investments and augment systems of record
INTEL GEOSPATIAL FOR ENTERPRISE AND GOVERnMENT
A horizontal platform that supports multiple industries and use cases. Get in touch with us to see how we can address your geospatial needs.
Utilities
Oil & gas
Smart cities
White Paper
GEOVISUAL DATA MANAGEMENT FOR UTILITIES
For many years, utilities have understood the value that lies locked within geovisual data. To access that value, utilities have to unify their data into one system to run analytics. Read this white paper to learn about best practices for this data management requirement.