As August is vacation time in many companies, we share some photos of our teammates on their adventures across different countries (Part 1). How many countries can you name? #GeoQuizz #workation #Geoalert #Team

When comparing #AI-powered mapping with open data, one of the most common questions we hear is: what’s the real value of imagery analysis and feature extraction compared to openly available datasets?
In practice, it depends on your needs:

Image alignment – if you already have your own imagery and want features to align with it (the value is in the tool, not just another dataset).

Data updates – if you need the most recent imagery to detect changes or trust results based on a specific source.

Still, open mapping data is a great reference point and complement to AI-based projects.

🚀 New release:
We’ve added a new default scenario to download data directly from #OpenStreetMap and #OvertureMaps – two most trusted open mapping data sources.

Workflow is simple:
1. Search, draw, or upload AOI
2. Select a background image (Mapbox Satellite is free, others may require credits)
3. Choose the open data object types (4 available now, more coming)
4. Run the workflow & preview results on the map

Now you can combine open mapping data with AI mapping results in a single project.

Regarding the Pricing:
We set minimum price = 1 credit / sq. km / feature type
Not for large-scale downloads, but perfect for combining open data with imagery basemaps + AI mapping.

🌍 Examples:
1. Airport in Australia – #Mapflow struggles with terminal structures, but OSM maps them well → just import from OSM.
2. Area in Texas – U.S. datasets are strong, but forestry areas are rough → use AI detection to refine and update.

💡 These are just a few examples. We’d love to hear your ideas, comments, and requests on using the new scenario!