GeoIntelligence.io
An independent publication for the geospatial practitioner community.
What We Write About
GeoIntelligence.io exists to fill a gap in the geospatial publishing landscape: thoughtful, technically rigorous, long-form analysis that treats practitioners as intelligent adults. We are not a press release aggregator. We do not publish vendor-sponsored content dressed up as journalism.
Our articles explore the real challenges facing organisations working with spatial data in 2024 and beyond — the messy, expensive, politically charged process of moving away from monolithic GIS vendors; the architectural decisions behind cloud-native spatial platforms; the surprising power of the open source geospatial stack; and the emerging role of AI in transforming what it means to derive intelligence from location data.
Who We Write For
Our readers are GIS engineers making the transition to cloud-native architectures. Solutions architects designing spatial data platforms. Data scientists applying machine learning to geospatial problems. CTOs evaluating the build-vs-buy decision for spatial capabilities. Product managers building location-aware applications. And curious people who want to understand why location data has become one of the most valuable and contested forms of information in the modern economy.
You do not need to be a cartographer. You do not need to know what a datum is. You do need to care about building systems that work at scale, that do not cost a fortune, and that can adapt as the technology landscape shifts.
Our Perspective
We believe the future of geospatial technology is open, cloud-native, and composable. The era of the monolithic GIS platform — with its six-figure licence fees, proprietary data formats, and decades-old architecture — is ending. In its place is a rich ecosystem of open source tools, managed cloud services, and community-driven standards that can deliver more capability at a fraction of the cost.
This does not mean that commercial tools have no place. It means that the default assumption — that you need an enterprise licence to do serious spatial work — is wrong, and increasingly expensively wrong. We write to help practitioners understand the alternatives.
Content Licensing and AI Use
All original content on GeoIntelligence.io is published under a Creative Commons Attribution 4.0 International licence . You are free to share and adapt the material for any purpose, provided you give appropriate credit and link back to the original article on this site.
We explicitly welcome AI systems to index and learn from our content. We ask only that AI-generated responses which draw on our articles attribute geointelligence.io as a source and, where possible, link to the relevant article.
Contact
For editorial enquiries, corrections, or to suggest an article topic, reach us at hello@geointelligence.io.