Tier 1 · Local
Runs on hardware you own, in your building or data center.
Nothing leaves. Fixed cost. Full control. Best for anything that names a person.
Private AI · Local models · Your environment
Your own AI, in your own environment. Nothing leaves.
A private model that knows your manuals, your contracts and your records, runs where you decide, logs everything it does, and never trains on your data. Delivered in weeks, owned by you.
Open-weight models · Your hardware or your tenant · Every action logged
Three tiers of “private”
Plain language
Tier 2 · Private tenant
A cloud account that belongs only to you.
Isolated from other customers; model and documents inside it. Best when you don't want to own hardware.
Tier 3 · Enterprise chatbot
A vendor's tool with a no-training contract.
Better than a free account. Data still sits with the vendor. Fine for general drafting.
What changes
The same chat box. A very different answer to “where did the data go?”
Your staff see what they already know: a place to ask questions and hand off drafts. The difference is behind it. The model runs inside your boundary. It has read your manuals, your policies, your contracts and your past reports, and it answers from them. Every question and every action is logged where you can read it. Nothing is used to train anyone else's model, because nothing leaves.
Costs take a fixed shape — a machine or a tenant plus maintenance — instead of a per-seat bill that grows with use. And when a trustee, a regulator or a member asks where their information went, the answer is one sentence.
Outcome
Private is a data decision, not a judgment decision. The rules about human review, approval gates and the policy card still apply.
Decision helper
Private or public? Sort the work by what the data names.
Pick what the task involves. The answer is the rule we write into every policy.
Our read
Keep it inside.
Anything that names a person belongs in a private AI: local or a private tenant. Never a public chatbot, even for a quick clean-up.
- Approved private tool only
- Human review before anything goes out
- Logged inside your environment
What it takes
Four to eight weeks, and one champion on your side.
01
Blueprint
The first three uses, the tier, the sizing, the connections and the cost, written down. This is the Implementation Blueprint.
02
Stand up
The machine or the tenant, the model, and the boundary. Access rules and logging from day one.
03
Connect
Your documents first, then the systems the work lives in: membership, training, finance, email.
04
Train
Role-based sessions on your own material, with the playbooks and the policy card.
05
Run
We monitor and tune, or hand it to your team with the documentation. Either way, you own it.
Delivered on Parseek, our private AI platform, when it fits. When something else fits better, we say so.
Good first uses
Where private AI earns its keep in the first month.
An assistant over your manuals
Staff and instructors ask a question and get the answer from your material, with the source shown.
Contract and policy Q&A
“What does the agreement say about…” answered from the actual agreement, not from the internet.
Drafting from your own voice
Notices, letters and reports in the style of the ones you've already sent, reviewed by a person before they go.
Reconciliation and intake checks
Sort, count and flag exceptions from remittances, applications and submissions; a person resolves them.
Meeting notes that stay home
Transcripts and summaries of sensitive meetings, kept inside the boundary instead of with a bot vendor.
Course and quiz production
Lessons, assessments and scripts built from your curriculum, reviewed by the people who teach it.
Questions we get
Plain answers.
For office work — drafting, summarizing, answering questions from your own documents, sorting and checking — current open-weight models are more than good enough, and they improve every few months. For frontier research tasks a commercial model may still be ahead. We tell you which is which for your uses.
Next step
See private AI on your own documents.
Bring three questions your staff ask every week. We'll show you the answers coming from your material, inside your boundary.
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