Signal.

Popper: the case for a root-cause engine that tries to prove itself wrong

Anyone can ask a model why a number moved and get back a confident paragraph. We wanted something an enterprise can actually trust: an engine that writes falsifiable hypotheses, tests each one against live data, and says plainly when it cannot be sure. We named it after Karl Popper.