SKAND
Company Overview
Industries
Social Media Profiles
About Skand
Description
Skand is an innovative cloud-based software platform designed for managing and visualizing spatial data. It empowers businesses and organizations to harness the power of location intelligence, enhancing decision-making processes while efficiently analyzing complex datasets within the Software and SaaS industry.
Specialties
3D data management
Spatial data visualization
GIS/CAD data integration
Reality mesh processing
Cloud-based location intelligence
Products & Services
3D Data Management
Spatial Data Visualization
GIS/CAD File Handling
Reality Mesh Analysis
Location Intelligence Solutions
Contact Information
Email Addresses
Competitors & Similar Companies(7)
Esri
Mapbox
Google Cloud Platform
Carto
Alteryx
Hexagon Geospatial
Tableau
News & Media
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skand
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Frequently Asked Questions about Skand
Where is Skand located?
The headquarter of Skand is located in Port Melbourne, Victoria, Australia
What is the email address of Skand?
The email addresses of Skand are [email protected], [email protected]
What is the official website of Skand?
The official website of Skand is https://www.skand.io
What industry does Skand belong to?
Skand belongs to the Internet and Technology, Software and SaaS industry.
What are the specialties of Skand?
Skand specializes in 3D data management, Spatial data visualization, GIS/CAD data integration, Reality mesh processing, Cloud-based location intelligence.
What products and services is Skand likely to offer?
Skand offers 3D Data Management, Spatial Data Visualization, GIS/CAD File Handling, Reality Mesh Analysis, Location Intelligence Solutions.
Who are the competitors of Skand?
Competitors of Skand are Esri, Mapbox, Google Cloud Platform, Carto, Alteryx, Hexagon Geospatial, Tableau.
What does Skand do?
Skand is an innovative cloud-based software platform designed for managing and visualizing spatial data. It empowers businesses and organizations to harness the power of location intelligence, enhancing decision-making processes while efficiently analyzing complex datasets within the Software and SaaS industry.