Most hail warning systems are trained on radar and on storm reports. Both are inference: a beam sweeping thousands of feet above the roofline, and a human account filed by whoever happened to be looking. When a warning is checked afterward, it is checked against those same two sources — inference validated against inference, a loop that never touches the ground.
Hailios Fusion AI closes that loop. It is trained on years of Tessera measurements of what actually landed, and every alert is checked against measured impact wherever a Tessera stands. Where it was right, that is confirmed against a physical record rather than an echo. Where it was wrong, the error is itself a measurement, which means it can be corrected instead of argued about.
The practical consequence is the alert threshold. Every warning system fires at some line, and that line is normally drawn on a proxy: reflectivity, a modeled maximum stone size, a product nobody has checked against damage at your address. You choose ours, in hail classes from H1 to H11, and what each class means is trained on impact measured on the ground. It sharpens as the record grows. That is the whole difference, and it is the only forward claim on this page.