Data, not guesswork.
We help traders, analysts and producers make faster, more accurate decisions about crops.
A team of agriculture, satellite, and data-science specialists — working together to turn billions of data points into the most accurate crop intelligence on the market.
Our values.
No Black Boxes
Forecasts are explainable, not algorithm soup.
Transparency First
We publish our performance, even when it's wrong.
Built for the Desk
Tools that traders, buyers, and procurement teams actually use — not just data scientists.
Accountability Matters
We're here for the full season, not just the sales pitch.
Built by specialists, not generalists.
Agriculture, technology, and data science — working together to revolutionise crop intelligence.
Paul Brabant
25 years leading forensic data analytics at AlixPartners, Epiq, and Skadden on multi-billion dollar investigations. Brings two decades of regulatory-grade data discipline to HSAT's commodity intelligence work.
Alex Horton
PhD geomorphologist and Imperial-trained geospatial engineer. Builds large-scale crop prediction models fusing weather data, crop data, satellite data, and macroeconomics, drawing on research experience across Borneo, Mexico, and Cambodia.
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Matt Li
UCL PhD and former Head of AI at 6point6 (acquired by Accenture). Designs and deploys the modelling, data, and engineering infrastructure behind CropGPT and HSAT's client platforms.
Evan MacHattie
A decade in supply chains, running them and then opening them up to international buyers. Brings that same origin-level lens to cocoa, coffee, sugar, and grains, working directly with procurement teams and trading desks.
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Sunil Mane
Leads HSAT's global ground-truth collection, running field teams across every region we cover, and heads our pharma survey operations worldwide. Five years building the data-quality, annotation, and guideline standards that the models depend on.
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Tom Mitcheson
Data scientist with an MSc from Imperial. Engineers the weather, frost, and harvest detection pipelines that turn billions of satellite and weather data points into actionable crop forecasts.
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Sam Wake-Watson
First-class Durham mathematician. Builds the satellite imagery models and data pipelines that power crop area and yield forecasts across CropGPT's 45+ crops.
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Rob Weston
25 years using data to decode complex markets. Built the world's largest trader surveillance systems at KPMG for HSBC, UBS, and Rabobank. The same intelligence architecture now applied to global crop markets at HSAT.
LinkedIn →Lauren Barker
Cambridge astrophysics MSc, with research in stellar modelling and galaxy formation. Joined HSAT's modelling team in 2025, applying the same quantitative rigour to crop forecasting.
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Get in touch with our team to see how HSAT can transform your crop intelligence capabilities.
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