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Research

Every location tells a story through
its connections, patterns, and context.

But AI has been deaf to these stories, processing geographic
data as disconnected points rather than understanding how
places truly relate to each other. At Globeholder,
we set out to change that.

Geo-Transformer

Our Geo-Transformer emerges from a simple but revolutionary idea: that geographic data should be treated as living, interconnected structures rather than flattened grids or isolated coordinates. Cities are more than a collection of streets and coordinates. They're dynamic, multi-layered systems where each block, boulevard, and building is part of a larger story. To capture this, we have created a transformer model that natively consumes GIS geometry using innovative network modules.

Model Features

New Geographic Intelligence for AI

These globally trained models provide embeddings that distill the intricate web of spatial relationships into a form that any machine-learning model can consume. The Geo-Transformer’s fractal spatial attention and proprietary locational encoding capabilities ensure that each vector carries the full story of its location: how it sits within its immediate surroundings, how it links to larger systems, and why its position matters.

This is not merely an incremental advance in GIS representation; it is a foundational leap that equips AI with a genuine, computational intuition for geography.

AI Understanding Complex Geographic Structures

With our intuitive Data Hub, you can access precomputed embeddings for any location worldwide. Interactive PCA map previews make model selection quick and visual, while ready-to-use outputs can be seamlessly integrated into your projects. Interactive mapping tools and one-click export options make analysis and deployment faster than ever. From spatial projections and predictive analytics to advanced location optimization, the platform unlocks a wide range of geospatial capabilities powered by state-of-the-art embeddings. It’s built to adapt to your goals, supporting tailored solutions across industries such as logistics, agriculture, urban planning, and environmental monitoring.

Revolutionizing Industries with Seamless Spatial Understanding

The platform adapts to your data, your objectives, and your workflows. Upload your own datasets, define target zones, and customize each task to drive better predictions, generate new spatial insights, or pinpoint optimal locations within your areas of interest. Easily save, export, and share your projects — including output maps, models, and data files — making collaboration across teams and deployment into production workflows seamless and efficient.

Turning Spatial Complexity into Actionable Insight Across Sectors

Explore the transformative power of foundational geo-embeddings through two complementary model families. Our GIS Transformer — the world’s first of its kind — is purpose-built to natively understand spatial relationships from complex geographic data. Alongside it, we are extending our architecture expertise to new-generation Earth Observation (EO) models, trained on vast collections of satellite imagery, to capture visual and environmental patterns at scale. Effortlessly compare, evaluate, and apply both types of embeddings to enhance spatial predictions, perform precise projections, and uncover meaningful location similarities — all within a single, seamless platform.

Transforming Satellite Data into Predictive Intelligence

For organizations with advanced needs, our enterprise partnerships deliver fully customized geospatial AI solutions. Integrate powerful geo-embeddings into your workflows with bespoke model training on proprietary data, tailored fine-tuning pipelines, and premium support. Whether you're optimizing infrastructure, enhancing risk assessments, or building domain-specific tools, we provide scalable deployments and hands-on collaboration to match your strategic goals and technical requirements.

Why not explore our Research in more detail by checking out our White Papers?

You can find out all about our value-driven benchmarking against the state-of-the-art EO foundation models and fully appreciate the power of GIS embeddings.

Use Cases

“Globeholder outperforms traditional satellite models by over 50% in predicting urban house prices - with faster deployment, simpler integration, and no need for geospatial expertise.”

– London House Price Prediction Benchmark

Our geo-embeddings enabled precise targeting of optimal EV charging station locations, resulting in 40% higher utilization rates compared to traditional planning methods.

– Urban Mobility Solutions, Dubai

By leveraging Globeholder's platform, we reduced site selection time by 75% while improving location performance metrics across our new store openings.

– Global Retail Chain Expansion

Use Cases