The work happens
before the question
Your data connected, your entities resolved, your definitions agreed. Then anyone can ask, and every answer arrives with its evidence.
Our Ecosystem
DeepGarden is an enterprise intelligence ecosystem built in three layers: Roots, Grove and Canopy. Raw data enters at the bottom and arrives at the top as trusted answers your teams can decide on.
Data pipeline infrastructure
DeepGarden Roots
Data ingestion pipelines.
The meaning layer
DeepGarden Grove
Where the data gets its meaning.
Flagship intelligence workspace
DeepGarden Canopy
Where your data bears its fruit.
Connect the Roots
Your Data; Unsiloed
Safely connect private datasets into an ecosystem that serves you with measurable value from day one. With the right AI implementation, you can uncover insights not previously possible.
Licensed into Roots
DeepGarden Data
External datasets, collected and entity-resolved, so a question can cross from your data into the market record and back.
The nouns change. The work doesn't.
Contracts, plans and counties in healthcare. Measures, jurisdictions and program years in energy efficiency. Different markets, one problem underneath: identifiers that move between releases, the same thing filed under six names, and a time axis that quietly invalidates the year-over-year comparison everyone wants to make. Finishing a market means five pieces of work, and it is the same five every time.
Collect
Find the sources that actually decide things in a market, and pull them on the cadence their publisher uses rather than on ours.
Normalize
Make identifiers, codes and units consistent between files, so two of them can be set beside each other without a spreadsheet in between.
Resolve
Work out what is the same thing under a different name, and hold that across years — the part that is easy to start and very hard to finish.
Define
Settle what the figures that matter actually mean, in writing, ratified by the person in your business who is allowed to decide.
Maintain
Keep all of it current as publishers move things and rename things, so the depth is a standing asset rather than a build that starts decaying on delivery.
Healthcare
Medicare Advantage market intelligence on maintained CMS data, joined to your own membership, network and financial data.
What the depth actually containsEnergy efficiency
With implementationMeasure characterizations, deemed savings and cost-effectiveness inputs reconciled across jurisdictions and program years, joined to your own program tracking data.
What the depth actually containsIt already speaks your industry
Each domain arrives carrying the vocabulary of the business that owns it: how your metrics are defined, which numbers may be compared, and what your teams actually call things. That is the difference between an assistant that guesses at your business and one that answers in its language on the first day.
Ask the question in the meeting rather than after it, and get an answer whose provenance holds up in the room.
Close the month without the reconciliation argument. Every figure arrives with the query and the definition behind it.
Pipeline questions answered against the CRM, billing and delivery data at the same time, with territory rules respected.
Operational reality across carriers, sites, suppliers and systems, in one question with the units normalized.
Workforce questions answered with row-level access and small-group suppression strict enough for the data involved.
Stop being the queue. Own the semantic layer and the access model; let the rest of the business ask its own questions against it.
Ship a governed analytics experience to your own customers without building the semantic layer, the permission model and the audit trail yourself.
A new domain is an onboarding, not a rebuild. If your industry is not on this list, it can be next.
Stop chasing numbers. Start deciding.
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