Causal models of real-world systems

From mechanism
to forecast.

We build causal models of the systems the world runs on: the atmosphere behind harvests, the climate behind risk, the grid behind power, the shocks that move prices and people. Built for everyone who has to act on what happens next.


Method

Identify it. Validate it.
Deliver it.

01

Identify the mechanism

We start from the causal structure (what drives what, under which conditions), not from whatever correlation the last six months happen to show.

02

Validate on real data

Every model is tested on real, out-of-sample data. We publish the methodology and the results, including the ones that don't work.

03

Deliver the model

You receive a licensed, documented and monitored model: a signal, a forecast feed, or a full pricing layer that plugs into your stack.

Who it's for

If you depend on the
system, you can see it coming.

Our models are built for anyone whose decisions move with weather, climate, energy, food or the movement of people.

Energy & utilities Power & commodity traders Asset & fund managers Insurers & reinsurers Agriculture & softs Supply chain & logistics Policy & public bodies Global health Food security & early warning Humanitarian & disaster response Migration & displacement Development & climate finance
Beyond markets

The same chains decide
more than prices.

Weather to harvest, shock to shortage, climate to displacement. These mechanisms decide harvests, outbreaks and migrations before they decide prices.

The commercial core of our work is in markets. The models are not. If you work in global health, food security, humanitarian response, disaster risk or migration, and an earlier, better forecast would change what you can do, write to us. We keep capacity for this work, and the absence of a budget is not a reason not to get in touch.

Have a system you
need to see coming?

Work with us →