Building Knowledge Ecosystems to Power Transformative GeoAI
TerraFrame is redefining GeoAI by connecting vast networks of geospatial knowledge — from spatial data infrastructures and earth observation to health information systems. By making intelligent, problem-solving solutions accessible through open-source tools, we enable cross-sector innovation to address humanity’s most urgent challenges.
Transformative GeoAI
GeoAI has the power to transform public health, disaster response, defense, and economic forecasting with real-time geospatial insight never before possible. Yet the data needed remains siloed, and most organizations lack the resources to harness it.
No single organization can solve every challenge or seize every opportunity with GeoAI alone. Breakthroughs will come from domain experts — those who understand their communities, their crises, and their context.
Imagine the wave of innovation unleashed if these experts had open tools and connected data to turn their knowledge into transformative GeoAI solutions.
By putting this power within reach, TerraFrame enables a future where those closest to the problems become the architects of the solutions.
TerraFrame partners with international standards bodies and government agencies to build open-source software and new standards that make geospatial data interoperable across silos. Our goal is simple: give every organization the one thing they lack to create their own location aware LLM-based solutions — access to up-to-date, integrated geospatial data.
National spatial data infrastructures, health systems, and digital public goods can all be published as Spatial Knowledge Graphs (SKGs), where references to location and vocabulary align seamlessly. This means that if someone wants to build an LLM solution for disaster resilience, data on hydrography, population, and transportation can be discovered, integrated, and made instantly usable by AI.
To make this possible, TerraFrame has pioneered a breakthrough approach: the Geo-GraphRAG.
How It Works
Unlocking Interoperable Data
Introducing Geo-GraphRAG
A Geo-GraphRAG is a translator between maps and AI. Spatial Knowledge Graphs (SKGs) organize data like flood risk, population, and transportation using common geographies and vocabularies. The Geo-GraphRAG retrieves this data, aligns it, and delivers it to large language models (LLMs), ensuring AI produces trusted, up-to-date insights rather than static guesses.
Unlike a monolithic system, this works through a federated architecture. Organizations publish their own Spatial Knowledge Networks (SKNs) using shared standards, making them automatically interoperable. This allows even lower-resourced groups to assemble SKNs on demand and create fit-for-purpose GeoAI solutions tailored to local challenges.