The platform

DeepGarden Platform

The DeepGarden Platform is Roots, Grove and Canopy deployed against your own systems. Roots connects your approved sources and holds who may see which parts of them. Grove holds what any of it means — the definitions and the resolved entities your business has ratified. Canopy is where people ask questions and receive answers with the evidence attached. You buy the three together, because none of them is worth much alone.

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DeepGarden Platform — the whole system, connected to your data

What it replaces

Not your warehouse and not your BI tool. What it replaces is the queue — the standing backlog of questions that have to become a ticket, a specification and a build before anyone gets a number, by which point the decision has usually been made without one.

The economics of that queue are what make analytics projects disappointing. Every question is individually cheap to answer and collectively expensive to service, so organizations ration the asking rather than the answering, and the questions that get rationed first are the exploratory ones that would have been worth the most.

What it needs from you

Read access to the systems you want in scope, someone who can settle what the important metrics mean, and a first use case narrow enough to prove out. That is the whole list. There is no data model to build first and no migration.

The work that remains is describing your data correctly — the entities, the metric definitions, the join paths, the rules about which figures may legitimately be compared. That is what implementation is, and it is done with your team rather than handed to them.

What stays under your control

Your systems of record stay where they are and stay writable only by you. DeepGarden reads. Access is granted by your administrators and takes effect on the next question. Definitions are yours: agreed by your people, certified in Studio, and changeable without waiting for a release from us.

Your data is not used to train models. Every question, the query it produced and the result it returned are logged against the person who asked, which makes the audit trail and the adoption record the same artifact.

One platform: a governed pipeline, an agreed semantic layer over it, a workspace on top of both, and a straight line between a question and a number somebody can defend.