We understand what nature does to your operation.
And how much (or what) it costs you.
Microclimate, soil, water resources, long-term scenarios. All of this cross-referenced with socio-environmental factors, market dynamics, and regulation. Yes, it’s complex. And that’s exactly why most still underestimate it.
If you’re part of that majority, it’s costing you more than you think.
Microclimate, soil, water tables, air quality. Piezometers, moisture probes at multiple depths, geotechnical accelerometers, PM2.5 and PM10 monitoring. Our own sensors in the field, AI-powered processing, continuous readings. We don’t rely on third-party data.
We calibrate global climate models with field data, adjusted for topography and local history. Then we cross-reference with market, regulation, geopolitics, and seasonality. The result is no longer data. It’s tailor-made intelligence.
Dashboard, alert, report, direct input into the client’s system. The format depends on how the decision is made. Intelligence adapts to the recipient’s context, not the other way around.
Finalists in Tech4Positive Futures, a global ESG award, with a project that used convolutional neural networks and public satellite imagery to detect deforestation in the Amazon. Affordable, efficient, and open source.
Since then, we adapted the model. And it proved applicable to far more than a forest. The results were promising enough to make it unacceptable for the story to stop there.
BRISE is what came next.