Climate · Nature · Agriculture — Central America & the Caribbean
DAP designs, runs and audits AI and geospatial data solutions for climate, nature and agriculture organizations across Central America and the Caribbean.
Data collected with the farmer at the centre, designed for Anacafé's more than 125,000 members in Guatemala.
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Epidemiological and weather data in one place to respond to coffee leaf rust.
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Central America's meteorological services share forecast and climatology data.
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The isthmus's fishing sector makes decisions with better information for better fishing.
See the case →Organizations we have worked with
Why now
Organizations don't need more apps. They need better-informed decisions, reliable reports and processes that work.
AI agents can do much of the work, but they fail when nobody defines the goal clearly or verifies the outcome over time. That's where DAP works.
The DAP method
How your organization actually works: processes, decisions, data and people.
The expected outcome, its success metrics and its limits on risk, privacy and budget.
The AI agents, geospatial data and integrations that deliver that outcome, with people in the loop.
Quality, traceability and performance, continuously, with reports ready for donors and regulators.
Verification feeds the next cycle: every measured outcome sharpens the next definition.
Solutions
Every solution starts by understanding the problem and ends with a measured outcome. Technology is the means.
We find where AI creates value in your organization, and where it doesn't, before you invest.
ExampleAI Readiness diagnostic with an economic baseline and roadmap.
Learn more →Reliable, timely information for extension staff and farmers, with experts validating every answer.
ExampleSomos Río Lempa farming assistant in El Salvador.
Learn more →Decisions on forests, water, crops and risk based on up-to-date spatial data.
ExampleForesTracker: forest monitoring for FUNDECOR.
Learn more →Prove origin, compliance and impact to buyers, donors and regulators.
ExampleINATrace with GIZ and ANACAFÉ for coffee traceability.
Learn more →Our work
Recent work in AI, forest monitoring and farmer information.
Sectors
Before buying an AI tool, answer five questions about the problem, your data, the risks, the people involved and how you will measure success.
Read article →One useful idea a month on AI, data and climate. No noise.
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Next step
Tell us about your challenge. In a first conversation we'll see whether a diagnostic makes sense for your organization.
Book a diagnostic →