Case studies

From predictions to impact.

How commodity firms — from British Sugar to West African cocoa cooperatives — use HSAT to cut losses, challenge market assumptions and scale decisions globally.

Ivory Coast · Cocoa

Predicting cocoa production with 97% accuracy

500,000+ pods analysed, combined with satellite imagery and weather data — the most accurate cocoa intelligence available.

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West Africa · Cocoa

Detecting CSSV outbreaks before they spread

AI disease detection from field photos spotted Cocoa Swollen Shoot Virus three months before official reports.

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Thailand · Sugar

Calling the sugar harvest before the market did

Weather-aware forecasting let clients trade ahead of the curve on Thai cane — before official estimates caught up.

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Pakistan · Cotton

Proving the market wrong on cotton yields

When Bloomberg reported a 30% drop, CropGPT's field teams and satellite data said otherwise. Weeks later, the market corrected.

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Pakistan · Flood

Mapping flood damage in 72 hours

When Pakistan flooded in 2022, HSAT delivered field-level damage maps before official assessments began.

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India · Flood

Rapid response flood mapping for Indian sugarcane

Maharashtra floods threatened 18% of national cane output. HSAT delivered field-level exposure maps in 48 hours.

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Canada · Canola

Beating the frost: canola weather alerts

Our frost-risk alerts gave 8 of the 10 largest Canadian canola traders time to reposition before cold snaps hit.

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Spain · Barley

Finding hidden stress in Spanish barley

Our drought index spotted cumulative rainfall deficits a full month before visible crop stress appeared.

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Turkey · Earthquake

Mapping agricultural impact of the Turkey earthquake

Post-quake damage assessments for agricultural infrastructure — delivered to aid agencies in 5 days.

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