The workspace
DeepGarden Canopy
Ask a hard question. Get a checked answer. Canopy is the part of DeepGarden people actually open: type the question you would have emailed the data team, and get the finding, the view that suits it, and the record of where every number came from.
DeepGarden Canopy — the enterprise intelligence workspace
What people do inside Canopy
Three capabilities of one workspace, not three products. None of them appears on its own order line.
Don't let another question turn into a goose chase
Ask Canopy a question
Type the question the way you would say it out loud. Nothing to learn, nothing to file, and no waiting on someone else's queue.
Canopy creates a plan
The question is read against your business definitions, narrowed to exactly what you are cleared to see, and turned into a plan before anything runs.
Canopy works its magic
A validated read-only query executes against your sources. The numbers come back from your systems, deterministically — not from the model.
Canopy answers with citations
The finding, the view that suits it, and every figure re-checked against the rows that came back before any of it reaches you.
A question becoming an answer
A question, the clarification it needed, the answer, and the query behind every figure.
Health plan · market intelligence
AskWhere is Aetna gaining or losing MA market share fastest in Ohio, and to whom?
Clarifying question
Two readings are available. Which did you mean?
- Share of Medicare Advantage enrolled, by county
- Share of all Medicare eligibles, by county
Across Ohio counties, Aetna's MA share moved most in Cuyahoga, where it fell over the six months to June 2026, from to .
Calculation
Share shift is the difference between the two period endpoints, computed on MA enrolled rather than on eligibles.
share_shift = (aetna_enrolled_end / ma_enrolled_end) − (aetna_enrolled_start / ma_enrolled_start)
The share went predominantly to Anthem, which gained over the same period in Cuyahoga.
What this cannot tell you
Two Ohio counties — Vinton and Noble — are excluded: CMS suppressed Aetna enrollment there at or below ten members in at least one endpoint, so a share shift cannot be computed. They are listed in the evidence rather than counted as zero.
Query evidence
- Dataset
- CMS MA enrollment by contract, plan and county
- Rows
- 10
- Duration
- 412 ms
- Executed
- 2026-07-14 09:22:07
- Status
- succeeded
- Mode
- read-only
View assembled from the result (pp)
- −2.4
- −1.1
- −0.7
- −0.5
- +0.3
- +0.5
- +0.8
Ask
Someone types the question they would otherwise have emailed the data team, in the words their business uses, across as many connected systems as it needs. When a question could mean two things — gross or net, the parent or the contract — Ask says which readings it can see and asks you to pick, because guessing produces a fluent answer to a question nobody asked.
What you do with it
- Ask across several connected sources in one question
- Follow up without restating the context
- Get a clarifying question instead of a guess
- Get a plain unknown when the data cannot answer
View
A trend arrives as a chart, a ranking as a sortable table, a single fact as a number with its evidence attached. Nobody picks a visualization; the shape of the answer follows the shape of the question. Anything worth returning to pins into a shared workspace with the live query underneath — unlike a dashboard estate, these come from questions people actually asked, produced fresh rather than stored waiting to go stale.
What you do with it
- Charts, tables, comparisons and single figures, chosen automatically
- Pin a result into a shared workspace
- Re-run a pinned view against current data
- Executive and analyst display modes on the same result
Evidence
A good analyst never hands you a number on its own. Click any hard figure and it opens its own record: the executed SQL, the dataset, the tables touched, the row count and the timestamp, plus the exact result cell it was read from. None of it is reconstructed afterwards — the record is written in the same run as the number, so a figure in a deck from three weeks ago can still say what it was standing on.
Before an answer is shown, a second pass compares every figure against the rows that came back. Values that reconcile are marked verified; anything that does not is flagged rather than published.
What you do with it
- Open the executed query behind any number
- See the source, tables touched, row count and timestamp
- Jump to the exact result cell a figure was read from
- Read the formula behind a derived figure
Canopy — the enterprise intelligence workspace. Governed answers, for everyone you are willing to give access to.
The rest of the system
the whole system, connected to your data
where your data is given meaning
the governed data pipeline
analysis-ready external data products
programmatic access to the data
your records, matched to the market
training, curriculum and advisory
the people who get it working and keep it working
DeepGarden under your brand, or inside your product
See it against your own numbers.
Bring a question your team cannot answer today and we will run it against data that looks like yours.