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Observations from training geospatial AI agents
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
Tariro Mashongamhende
Jun 15 min read


Building Agents at UCL AI Festival: A Disaster Response Simulation using Large Language Models
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,
Mawuli Agamah
May 17 min read
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