Representation is the control surface.
A proprietary computational substrate. Products are developed in it and surfaced from it.
QTT-native · GPU-native · Physics-native
The same numbers. A different shape.
Changing the shape never changes the data. It is the same numbers, organized differently. Information is lost only when the tiniest, least-important detail is deliberately dropped, and the tolerance is set explicitly.
Loss is a choice. Not a side effect.
Every new direction multiplies the size.
A full 3-D volume already holds 16.7 million points. Track it over time and it passes 4.3 billion. This is why high-fidelity physics reaches for GPUs and supercomputers.
Does the structure stay simple as you zoom in?
Folding only pays off when the data has real structure: smooth regions, repeating patterns, self-similar shapes, predictable physics. If the answer to the deciding question is yes, the folded form stays tiny no matter how big the data gets.
The boundary is stated plainly: at small sizes folding makes data bigger, and pure noise has nothing to fold. Below the crossover, plain storage wins. The substrate measures the structure and routes honestly rather than forcing one path.
Compute on the pieces. Rebuild only what you need.
An operation, like one physics step, is also a small chain. It runs against the data chain piece by piece; the full object is never materialized. Each step makes the links swell a little, so the chain is tidied back down before the next step.
Trust you can calculate and validate independently.
The substrate is engineered under the same posture the products ship with: forced in development, surfaced at the client-facing level.