About
Follow The Logic itself is a one-person modelling practice, working with a network of specialists and partners when a project needs them.
Who
Hans Schepers enjoys complexity. Listening to an expert is the best way in; otherwise it is reading, and then quickly building the system in the garage to play with it. These days the building happens mostly in a computer, with sensors attached — but the story that comes out is still the exciting part. Does it help to handle the complexity? It does!
Trained as a biologist, he has worked in both industry and research, specialising in applied problem solving: ecotoxicology, fractal blood flow around the heart, insulin sensitivity, shelf life of lettuce, ready-to-eat mangos, and the taste and yield of tomato.
What FTL is, structurally
A modelling framework and about fifty models built on it, across greenhouse and field crops, aquaculture, and human physiology. The framework is the reason a new model takes days: the equation solver, the parameter layering, the sensitivity machinery, the KPI and economics layers, and the translation to a browser application are written once and reused.
It is built in R, with the delivered simulators running as JavaScript in the browser, and confidential models served from an API. There is no large team behind this and no venture funding. That is a deliberate choice: it keeps the work close to the modelling and the price sane.
How we work with people
Small, fast, and in the open. You get the model, the reasoning, and a clear statement of what it cannot tell you. Where a model is your intellectual property, it stays yours. Where it is ours, you get the use of it without the maintenance burden.
We collaborate rather than compete with the people who already hold your data and run your dashboards. The model is the part that is missing, not the plumbing.
The name
We build models, simulations and predictions not just on ‘data’ and ‘machine learning’, but first of all by following the logic of practitioners telling us the story of the problem at hand.
The logic in the reasoning of a grower or a farmer says a great deal about how their system will react to steering — a tomato crop, a seabream farm; in human health, a doctor or a coach reasoning about a patient or an athlete.
They also know their experience holds only up to a point, and that a rule applied outside its circumstances can be wrong.
Combining local data and your specific objectives with global science (read and summarised with the help of generative AI tools) in interactive simulation models makes it clear which expectations need adjusting, and why.