Open, global
geospatial AI expands what’s possible.

Taylor Geospatial brings researchers, engineers, and practitioners together to create open geospatial AI models, data, and benchmarks at global scale.

The Challenge

The imagery problem is solved.
The information problem isn’t.

Satellites capture images of the entire planet every day, across multiple sensors and at petabyte scale. The imagery is there; the challenge is that extracting insights is expensive and time-consuming.

Turning satellite imagery into usable information means every team builds its own pipeline: sourcing and preprocessing imagery, labeling training data, training and validating models, then running inference at scale. That work usually stays inside one organization, solved for one place and one question. Everyone solves their own problem, and the field as a whole advances slowly.

OUR SOLUTION

We build elements of the foundational layer to create global datasets from satellite imagery.

The information problem won’t be solved one pipeline at a time. We unite teams of researchers, engineers, and practitioners to build the foundational layer that extracting information from satellite imagery depends on: training data, benchmark datasets, cutting-edge models, imagery prepared for model inference, and the tools to extract features at planetary scale. We release it all openly, so it reaches the market faster and creates economic, environmental, and societal value sooner.

The challenge

Teams rebuild from scratch for every new feature and region of interest.

Taylor Geospatial vision

Building a reusable pipeline for global features lowers the barrier and cost to insights and analytics.

The Impact

A foundation for planetary intelligence

Our open resources save teams the time and cost of starting from scratch, so researchers, companies, NGOs, and governments can go straight to the questions they need answered.

RESEARCHERS & ML ENGINEERS

Build on the cutting edge.

We create open benchmarks, training data, and models at the frontier of geospatial AI. Dig into the code, contribute to it, or take it and build something new.

INDUSTRY & DATA PROVIDERS

Turn your imagery into a global product.

Run our open models on your imagery, use our training data to develop your own models, or add our global vector data as a layer in your analytics product. You can offer global coverage and build products and services on top of our open resources.

NGOS & PRACTITIONERS

Access data where there was none.

The places many NGOs operate often have no data from governments or commercial providers. Our datasets are open and global, including the regions that usually go without. You can explore the results in your browser, with no code required.

GOVERNMENT & PUBLIC SECTOR

Adopt geospatial AI with evidence.

Open benchmarks let your teams test and compare models before committing to one. And because your agencies employ researchers and engineers, everything else we build is open to them too.

Explore our work

October 27, 2026

No One Knows the State of the Art in Geospatial Foundation Models

Geospatial foundation models hold promise for disaster response, land-cover mapping, and earth-observation tasks, yet inconsistent evaluation and limited access to weights hinder practical deployment. This post audits 152 papers to reveal reproducibility gaps and proposes six actionable recommendations to standardize benchmarks, release practices, and comparisons across the field.