Design of experiments
We plan tests to get the most information with the fewest experiments.
A prototype isn't just for "seeing if it works": it's for measuring. We design it as an experiment, with the instrumentation and condition control needed to produce reliable data — the same data we'll use to validate and correct the model.
We build experimental set-ups and functional prototypes designed around measurement: where and what to measure, with what precision, under which conditions. We isolate variables to understand cause and effect, not just observe a behavior.
From the scientific-lab culture we bring a way of making measurements you can defend.
We plan tests to get the most information with the fewest experiments.
Calibrated, traceable instruments: a measurement without known uncertainty is not a measurement.
Tests must give the same result under the same conditions: only then is the data credible.
Measurements with known uncertainty, ready to compare with the model.
A concrete demonstration that the principle really works.
The data lets us correct and improve the predictions.
We design it as an experiment and give you data to decide on.
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