About
What we are building, and why this way
DeepGarden is a governed enterprise intelligence company. We build the layer that lets an organization ask important questions of its own data and get answers people can act on — with the query, the source and the rows attached to every figure.
The problem we started from
Every large organization runs a queue. A question that crosses two systems becomes a ticket, a specification and a build, and by the time the number arrives the decision has usually been made without it. Nobody budgets for this because the cost is spread across every meeting where somebody said they would go and check.
The obvious fix — point a language model at the warehouse — fails predictably. Without agreed definitions it guesses at what your metrics mean. Without a permission model it sees everything or nothing. Without provenance nobody in a serious business can act on what it says. The demo is a fortnight; the part that makes it usable is years.
So we built the unglamorous half first: the semantic layer, the access model, the query validator, the execution role with no write grants, and the evidence record written in the same run as the number. The conversational part sits on top of that, which is the only order that produces something a regulated business can adopt.
Where we are
We are early, small, and based in Chicago, Illinois. The governed query path, the evidence record and the workspace are built and running. Studio and Radar are being built now. The external data business is real in healthcare and aspirational everywhere else, and the site says which is which.
We do not have a wall of customer logos, and we are not going to invent one. What we can offer instead is specificity: a working product you can put questions to, a set of maintained datasets you can interrogate on the first call, published methodology, and a security page that tells you what we have not done.
If that reads as under-selling, it is deliberate. The buyers who matter for a system like this check things, and the first thing they check is whether the last claim was true.
What we believe
Six positions that decide most of the product arguments, so they are worth stating plainly.
An answer you cannot check is a different product
Traceability is not a premium tier and never will be. There is no cheaper configuration of DeepGarden that removes the evidence, because removing it does not make the answer cheaper — it makes it something else.
The model should write the query, not the answer
Figures come from your systems, deterministically. The same question against the same data returns the same rows. Anything else is a language model's opinion of your business with a chart attached.
Governance is what makes speed usable
Most organizations are not slow because their tools are slow. They are slow because nobody can safely widen access without agreed definitions and enforced permissions. Fix that and the speed follows.
Saying 'I don't know' is a feature
The expensive failure in this category is not a refusal. It is a fluent, plausible answer that happens to be wrong, delivered to someone with no way to catch it.
The hard part of external data is the resolution
Public data is public. What costs money is the collection, the normalization, the entity resolution and the maintenance — and we say so rather than implying we are selling you access to something you could not download.
Under-claiming is cheaper than over-claiming
We label what is in development, we do not list certifications we have not earned, and we would rather publish one industry properly than five thinly. It costs some traffic and saves the relationships that matter.
Judge it on the product.
The fastest way to judge any of this is to bring a question and watch it get answered, with the query visible.