When the forecast is right once, behavior changes for good.
A Gates Foundation-funded pilot, run with COSA and implementation partner Ethos Agriculture, across coffee cooperatives in Rwanda and Uganda.
Coffee farming in Rwanda and Uganda used to run on generational knowledge: rain in July and August, sun in October. Then the pattern broke, and a smallholder with roughly 40 harvests in a lifetime could no longer afford to bet on signals that no longer hold. COSA deployed the Helios AI climate intelligence module, and Ethos Agriculture turned the signal into a coffee calendar timing planting, drying, transport and export week by week.
The turning point was not a sales pitch. It was a single dry spell that arrived exactly as forecast. From there the question stopped being "should we trust this?" and became "what does it say this week?" Co-ops now pass the signal on to the farmers they serve.
- Why a crop-specific climate signal is different from a general weather forecast
- The moment trust flipped, and why one accurate call was enough
- Where co-ops focused: planting and harvest windows, pricing, and plain-language questions
- A repeatable model for pilots with NGOs, funders and sourcing teams
Get the full case study
See how co-ops turned a climate signal into weekly sourcing decisions. Enter your details to unlock the PDF.
You will also get a copy by email.
Download the PDFSee it on your commodities
Get Helios AI intelligence on the crops and origins you actually source.
Request a demo.png)
Personalized commodity intelligence for the teams that keep the world fed.
