Technology born from consulting. Built for the world.

OrangePeel is our analytics engine. Underneath it runs D.A.E. — the Deterministic Algorithmic Engine — and D.A.E. is not a model. It does not learn a shape from your data and hope it generalises. It does not sample, weight, or estimate. It computes.

It decomposes an input space recursively and hierarchically, categorising each layer against the layer above it, to as many as twenty-five sub-categorised mapping layers beneath a single category, across an architecture built to address one hundred thousand main input categories. Given the same input it returns the same output — today, next quarter, and in front of your board.

There is nothing probabilistic inside it, which has a consequence people usually skip past. Because no step is sampled, every cell in a result carries a path back to its parent, and every parent back to the input. The engine is not merely repeatable. It is readable. When someone asks why, the answer is a path.

Nothing about it is a black box, because a black box is just a place to hide an assumption.

A firm that rents its analysis is limited by what it rented. The vendor’s assumptions become your assumptions; the vendor’s roadmap becomes your depth; and when the problem turns out to need one more layer than the licence permits, the honest answer is “we can’t tell you” and the usual answer is a confident paragraph.

We would rather own the ceiling. That is a slower and more expensive way to build a consultancy, and it is the reason the depth of our analysis is limited by nothing but the problem itself.