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Geospatial data analysis provides organizations with actionable intelligence about the visual world. Our data analysts can help.
Organizations have been using traditional mapping for years to gather information about the world around them. The application of AI to geospatial data can deepen their understanding and inform how they adapt their approach in creating AI for applications such as road navigation, remote insurance assessments and pipeline inspections, and forestry management. Training and maintaining these AI systems requires large quantities of annotated geospatial data, and that’s where CloudFactory can help.
Geckomatics specializes in mobile mapping for cities and businesses that need highly accurate, up-to-date maps and inventories. Their solution provides insights on assets to improve city management and urban planning. They turned to CloudFactory to help make their cost-effective solution available to more customers around the world. Our teams of data analysts:
Without CloudFactory we never would have been able to deliver work for large cities. We tried with a different partnership before and it failed. Now that we have this support, we feel confident that we can deliver on all the new projects we’ll have in the future.
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.
The real-time use cases for geospatial data are practically limitless, but data-labeling remains a major challenge on such an enormous scale.
Can AI help us predict the future of climate change, ocean sand erosion, and food production?
Geospatial mapping company turned to CloudFactory to help them scale their new roof geometry business.
Questions about training data or want to learn how CloudFactory can help lighten your team’s load?
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