Case study

Useful, timely information for thousands of coffee-farming families

Coffee Cloud dashboard with a map of Guatemala and indicators

Challenge

Coffee-farming families were making management decisions without access to climate information or timely technical assistance.

What we did

We created Coffee Cloud, a service that brought information and recommendations to farmers, built on landscape data. For Anacafé in Guatemala it became a farmer-centred data collection and analysis suite, designed for its more than 125,000 members.

Outcome

An internationally recognized farmer-information model (MIT Technology Review Innovators Under 35, Cracking the Nut 2017).

~6,000coffee farmers reached

Technology

Data platform
Messaging
Climate information

DAP's role. Initiative created by DAP's founding team.

More of our work

Somos Río LempaEl Salvador2026

Reliable farming answers on WhatsApp for producers in the Río Lempa watershed

Challenge: Producers and extension staff in the watershed needed timely agronomic guidance, but in-person technical assistance can't cover every question.
Outcome: An always-available assistance channel, with answers traceable to their sources and an improvement cycle driven by expert review.

Live

GIZ · ANACAFÉGuatemala

Farm-to-buyer coffee traceability, ready for new market requirements

Challenge: Buyers and regulations such as the EUDR require proof of coffee origin and production conditions.
Outcome: A traceability system that records the product's journey and makes compliance easier to prove.

Live

Regional

Making climate risk visible for financial institutions

Challenge: Financial institutions needed to understand their portfolios' exposure to climate hazards to manage risk and access green finance.
Outcome: A climate-exposure diagnostic that supports risk management and conversations with funders.

Geospatial data, GeoAI and climate

Next step

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