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Build & Foundations
In-House AI LLMs
Private LLMs on your data, your perimeter. Walk through how we'd build it for you, in four steps.
- Headline outcome
- 100%Data stays inside your perimeter
- Projected ROI
- 2-4xIllustrative, per build
- Built with
Illustrative product view
Step 1 of 4 · Analyze
We map your private data and perimeter.
We scan what you run today and flag what's working, what's broken, and where the upside is.
vpc · your documents
Analyzing
Inventorying data sources, access roles, PII…
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- 1Document storesOpen
- 2Access rolesper-user / per-role neededGap
- 3PII handlingmust stay in VPCIssue
- 4Current LLM usethird-party APIIssue
- 5Audit / lineagenoneGap
What we found: Valuable internal data, but answering it today means sending it to a third party.
Illustrative scan of a representative current-state surface. Your live engagement maps your real data.
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Want In-House AI LLMs running on your network?
A free 30-minute meeting. We scope the build for your business and come back with a fixed plan and a numbers-anchored target.