Most institutions already have the data. What they lack is the structure that turns it into decisions.
I studied applied mathematics, then spent the next twenty-five years designing interfaces for software that kept getting more complicated than anyone could explain.
Mostly that meant companies. Fintech, SaaS, enterprise platforms, consumer products. Fiat, Bosch, Ria, Klara AI. Work across Europe, the US, Latin America and the former Soviet states. It usually came down to the same problem: a system too complex for the people who had to use it, and someone needed to find the structure underneath.
Six years ago my family moved to Brazil. Living here changes what you notice. The questions that matter in Goiás are not the ones that matter in London. Water, land, what grows and what doesn't, who holds which piece of information and why none of it connects.
In 2025 I spent six months building Chivo Agro, a proposal for national agricultural digital infrastructure in El Salvador. Nobody commissioned it. I did the research, designed the architecture and the three interfaces, and sent it. It led to conversations with CENTA, FAO and the MERIAN programme, which are still going.
That's the work now. Land, water, food systems, and the institutions that manage them, usually with data they already have and can't use.