Oxford Earth Observation


Oxford Earth Observation applies predictive models to data extracted from satellite imagery. We derive location-specific assessments of environmental, social and governance risk exposure for large fixed-capital assets.

Earth Observation

OxEO derives insight by the distributed downscaling of a massive corpus of remote sensing imagery. OxEO is agnostic to sensing platforms and can establish risk baselines informed by 35 years of observations.

ESG Fundamentals

OxEO has expertise in the fundamentals of environmental, social, and governance risk and delivers insights based on observed data not proxied by estimates or reporting.

Predictive Modelling

OxEO develops forward-looking perspectives on risk using the best available science applied to observed data covering relevant climate and development scenarios.


OxEO is building a platform to provide operational insight into a range of environmental, social, and governance risks.


OxEO’s founders are members of the University of Oxford. Our team is expanding to include climate modellers, geospatial scientists and software developers. The company is part of ESA BIC UK, an incubation programme supported in part by the European Space Agency. Our shareholders include the Satellite Applications Catapult. For more information please contact us.

Dr Alex Money

Managing Director

Alex directs a research programme at the University of Oxford's Smith School of Enterprise and the Environment. A former fund manager, he has over 25 years of practitioner experience in industry. Alex holds master’s and doctoral degrees from Oxford; his research interests include water risk, energy, infrastructure, impact investment, and geospatial analysis. Alex has a track record of building businesses that provide insight to investors and companies.

Lucas Kruitwagen

Technical Lead

Lucas is a geospatial data scientist researching topics in sustainable finance. He has built several web applications and has led several entrepreneurial projects. He is completing a DPhil in Geography and the Environment at the University of Oxford, and holds certificates in deep learning and machine learning, an MSc with Distinction from Imperial College London, and a BEng from McGill University

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