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Many AI systems use embeddings to represent and compare concepts, and in the domain of geospatial AI, these embeddings can be used to compare places to each other. A location becomes a vector, and similar places are found by comparing those vectors. But how a place is seen or represented isn’t one size fits all. The choices underpinning how places are represented and how much information or dimensions are used to do so, can change the magnitude of how similar or dissimilar pl

We have built the Eikon system to work as a dataset, tools/models and as an AI agent system all in one. This experience has taught us a few things about what trade-offs need to be made in order to build a reliable and usable system. This piece will focus on the training of the Eikon AI agent and will cover why we feel we need to build our own agent(s), how we think about building them and whether model size / scale / type make any difference for what we do. What an AI agent i

In February 2023, Cyclone Freddy made landfall in Mozambique, proceeding to cut across Southeastern Africa. Floodwater swallowed roads which had been bustling just hours before. In coordination centres across Zambezia and Sofala provinces, responders pulled up satellite imagery already days old, tracing routes on maps that no longer match the ground. A bridge marked as standing had collapsed. A warehouse of medical supplies sat twelve kilometres from the people who needed it,