AI, ML & Disaster Risk

We apply artificial intelligence, machine learning and retrieval-augmented generation (RAG) to disaster-risk problems — turning earth-observation, climate and operational data into predictive models and intelligent decision-support tools for flood, drought and other hazards.

Typical deliverables

• Machine-learning models for hazard prediction (flood, drought, change detection)
• Retrieval-augmented generation (RAG) assistants over technical, climate and document data
• AI-driven early-warning & anticipatory-action decision support
• Model development, validation, and MLOps for operational systems

Tools & technologies

PythonPyTorchscikit-learnLLMs & RAG (vector databases)xarrayrasterio