AI Earth Model

The Planet
Thinks in Tokens.

GeoInsight turns the entire Earth's surface into a unified vocabulary of Spatial Tokens, so AI can reason about geography the way language models reason about text.

Trillions+Spatial Tokens
65 PBCopernicus Archive
cm–kmRefinement Level

An AI Earth Model that understands
where things happen.

Geography shapes everything: climate, conflict, supply chains, migration, disease. Yet most AI models treat location as a mere coordinate. We change that.

01

Spatial Tokens

Every zone on Earth, from a city block to a continent, is represented as a Spatial Token in a hierarchical Discrete Global Grid System (DGGS). Tokens compose like words: local context stacks into regional meaning.

02

AI Earth Model

We encode multimodal Earth observation into one Spatial Token space — starting with Sentinel-2 from the 65 PB Copernicus archive. The analysis-ready token layer is live today; a foundation model trained on it is what we're building next.

03

Geospatial Reasoning

Our goal: a model that can compare, forecast, and explain spatial relationships. Why is this zone at risk? What changed? Where should the next facility be built? Spatial intelligence as a foundation for decisions.

From raw Earth data
to spatial intelligence.

01

Ingest & Tokenise Available now

Any geospatial data source (rasters, vectors, point clouds, tabular) is mapped to, or natively stored in, the DGGS grid and converted into Spatial Tokens. The token hierarchy preserves multi-scale context automatically.

02

Query via API Available now

A standards-compliant OGC API DGGS endpoint exposes the token store for zone-based queries. Ask for a token, a region, or a spatial context window and receive structured, machine-readable answers.

03

Embed & Pre-train On the roadmap

The AI Earth Model will be trained on planetary-scale token sequences, learning spatial patterns, seasonal rhythms, and geographic relationships across decades of Earth observation data.

04

Fine-tune for Your Domain On the roadmap

Bring your own labels and task definition. The model will adapt to agriculture, infrastructure, risk, logistics, or any spatially grounded problem — in days, not months.

Built for the hardest
spatial problems.

GeoInsight is use-case agnostic — the same Spatial Tokens deliver answers across every domain. These are a few where spatial reasoning changes the game.

OSINT & Maritime IntelligenceComing Soon

Dark vessel detection, chokepoint monitoring, and maritime pattern analysis. Spatial Tokens enable global ocean surveillance at scale.

Climate & Environment

Monitor land use change, deforestation, and ecosystem stress at global scale with per-token resolution.

Agriculture & Food Security

Predict crop yield, detect stress early, and optimise field-level interventions across continents.

Infrastructure & Urban

Site selection, expansion planning, and infrastructure risk assessment grounded in spatial context.

Disaster & Humanitarian

Rapid impact assessment and resource routing using real-time spatial reasoning over affected zones.

Finance & Risk

Physical climate risk, supply chain exposure, and geopolitical risk modelling with spatial precision.

Not another GIS tool.
A new kind of intelligence.

Cloud-native

Designed for cloud deployment from the ground up. Spatial Tokens are delivered as a scalable web service — no desktop GIS, no local downloads, no projection wrangling.

Standards-native

Built on the OGC API DGGS standard, interoperable with existing geospatial infrastructure from day one.

Scale-invariant

The same token hierarchy works at street level and continental scale, with no projection distortion.

Multimodal by design

Optical, SAR, thermal, LiDAR, and tabular data all live in the same token space.

Explainable outputs

Every answer traces back to specific Spatial Tokens and source observations. No black box.

Open & extensible

Core DGGS infrastructure is open source. The model layer is where we build defensible value.

Built by people who
know the territory.

A team of engineers, geographers, and scientists who have spent careers transforming complex geospatial data into decisions — from extreme-environment expeditions to planetary-scale data infrastructure.

Gino Caspari
Gino Caspari
Chief Executive Officer
Archaeologist who has led scientific expeditions in extreme environments. PhD in East Asian studies, MSc in Business Administration, and a Fulbright-sponsored MA from Columbia. Fellow of the Explorers Club, 30+ peer-reviewed papers, and a Member of the Swiss Young Academy of Sciences.
Michael Jendryke
Michael Jendryke
Chief Technology Officer
Geographer and innovator behind GeoInsight, set on changing how geospatial analysis is done. PhD in engineering focused on photogrammetry and remote sensing, with 10+ years of international experience overseeing the path from raw data to delivered insight.
João Manuel
João Manuel
Chief Product Officer
Web engineer and product designer with a master's in geomatics and years across the IT and GIS sector. He designs the product, user experience, and interaction, blending location data and remote sensing with web technology.

Ready to reason
about the world?

We're onboarding a small number of early partners. Tell us about your use case and we'll be in touch.