Tenure
Tenure Private AI · on your hardware

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Everything your business knows lives somewhere.Almost none of it lives with you.

Dozens of tools. Infinite subscriptions.

Your files, your clients, your process. Held by a dozen companies you've never met, on machines you'll never see.

You call it your data.You're renting access to it.

One outage, one breach, one change of terms. It was never in your building to protect.

Now you've handed them your thinking too.The AI you rent learns everything you tell it.

It runs on their hardware, on their terms. They can train on your data, raise the price, or quietly make it worse. You'll find out after it has already happened.

It doesn't have to be this way.

It was always your knowledge.This is the first time it landed on ground you own.

Your data. Your hardware. Your building. It goes down, not out.

The model runs on a machine you own. The knowledge base sits behind your own door. Nothing leaves. Not because a policy says it won't. Because there's nowhere for it to go.

    The improvising stops.Your company stops outsourcing how it thinks.

    Right now everyone is solving this alone. A chat window here, a plug-in there, client material pasted into whatever was easiest that morning. You cannot see any of it, and none of it comes back to the company. One system your people actually want to use ends that, because there is finally a right place to do the work.

    What gets deployed
    • Ask it the way you would ask a colleague

      A question in plain language, answered out of the company's own material rather than out of the public internet.

    • Draft from your own past work

      A first draft that starts in this company's language and its positions, not from a blank page or a form off the internet.

    • Show what the answer is based on

      Every answer comes back with the documents behind it, so it can be checked before anyone acts on it.

    • Runs with the network unplugged

      The model is on the machine in your office. There is no request leaving the building and no service to be down.

    • Your material, ingested and structured

      Working documents, records and the files people actually open, put into one place.

    • Tied to the client, the project and the date

      Structure is what lets one question be answered across ten years of work instead of one folder at a time.

    • It grows as the company works

      Every engagement you close goes in, and is there for the next one. Nothing has to be filed twice.

    • It stays in the building

      You own the hardware and the knowledge base on it. If the arrangement with Tenure ends, both stay where they are.

    • Scope from what the work actually took

      Plan and staff a new engagement against the company's own record of comparable ones, not against a guess.

    • Check new work against the whole history

      Bring back everything the company has already touched that bears on a new client or a new project.

    • Your forms, not generic ones

      Documents assembled from the versions this company already stands behind, with the choices it already made.

    • The review steps, written down once

      The checks someone senior would run before something goes out, applied the same way every time.

    • Permissions that match the org chart

      Who can reach which clients, projects and files, set the way the company is already structured.

    • A record of what was asked

      Questions and answers are kept on your hardware, for the company to review on its own terms.

    • No account to breach

      There is no cloud tenancy, no vendor login and no third party holding a copy of any of it.

    • You can walk into the room it runs in

      Privacy that is a property of where the system sits, not a promise about how a vendor behaves.

    Rented tools depreciate.Owned knowledge appreciates.

    Every project you close. Every process you refine. Every decision and the reasoning behind it. It stays, it compounds, and it gets more useful the longer you run it. Five years in it is not a tool you are paying for. It is one of the more valuable things the company owns, and the hardest for anyone else to copy.

    The problemLeading AI tools ask for too much.

    Renting AI, compared with owning it
    RentingOwning
    It trains something you do not own. Your material trains nothing but your own system.
    Their outage is your outage. It runs whether or not anyone else's service is up.
    The price is theirs to set. Bought once, under a licence that does not expire.
    A private tier is a policy, not an architecture. Nothing to leave, by design rather than by promise.

    Tenure's answer is structural.

    The system runs on hardware your company buys and keeps, in your own building. The data does not leave because there is nowhere for it to go.

    The systemWhat we deliver

    Platform
    • AI agent
    • Knowledge base
    • Workflows
    • Governance
    Security
    • Single-tenant
    • Zero data egress
    • Air-gapped option
    • Local activity logging
    Ownership
    • Perpetual licence
    • Hardware you own
    • 12 months of upgrades
    • No forced renewal
    Support
    • Optional
    • Separately contracted
    • Never required to run

    An AI model with the capabilities you are already used to, running on hardware your company owns and controls.

    Ask it the way you would ask a colleague

    A question in plain language, answered out of the company's own material rather than out of the public internet.

    Draft from your own past work

    A first draft that starts in this company's language and its positions, not from a blank page.

    Show what the answer is based on

    Every answer comes back with the documents behind it, so it can be checked before anyone acts.

    Every project, record and engagement in one place, structured so a single question can reach across all of it.

    Your material, ingested and structured

    Working documents, records and the files people actually open, put into one place.

    Tied to the client, the project and the date

    Structure is what lets one question be answered across ten years of work instead of one folder at a time.

    It grows as the company works

    Every engagement you close goes in, and is there for the next one. Nothing is filed twice.

    The work the company repeats, captured once so it runs the same way every time.

    Check new work against the whole history

    Bring back everything the company has already touched that bears on a new client or a new project.

    Your forms, not generic ones

    Documents assembled from the versions this company already stands behind, with the choices it already made.

    The review steps, written down once

    The checks someone senior would run before something goes out, applied the same way every time.

    The rules for who may use it, on what, and the record of what was done.

    Permissions that match the org chart

    Who can reach which clients, projects and files, set the way the company is already structured.

    One set of rules, not one per tool

    Retention, who may see what and what the system is allowed to touch, decided once for the company instead of separately in every application.

    A record of what was asked

    Questions and answers are kept on your hardware, for the company to review on its own terms.

    Where your material physically sits, and what it would take for anyone else to reach it.

    It answers on the machine in your building

    The material and the model are in the same room, so nothing has to leave the company for the system to do its work.

    No vendor account, no shared tenancy

    Your material is not sitting in a provider's system beside other companies', and there is no external login to be taken over.

    Local storage and inference, remote access

    Your people use it from wherever they work, the way they use any other AI tool. Access is authenticated, and it can sit behind the company VPN if that is what your policy asks for. What does not move is the material or the model.

    The engagementHow it works

    1. 01

      Audit & discovery

      An inventory of the AI already in use, and a map of what the company knows.

      2 weeks
    2. 02

      Specification

      The deployment model chosen, the machine spec'd to your company, integrations named.

      1-2 weeks
    3. 03

      Deployment

      Stood up in your environment, your material ingested, permissions mirrored to the org.

      3-4 weeks
    4. 04

      Training & handoff

      Your team learns it on your own material, and it is documented for them.

      1 week
    5. 05

      Support

      A separate contract. Run it yourself instead and nothing changes.

      Optional

    What you ownIntelligence that compounds over time.

    Your people use it for the things they already use AI for: drafting, summarising, pulling the one document nobody can find. Every pass leaves something behind.

    So it gets better at your business specifically, not better in general. The more the company uses it, the more of the company it has learned.

    And what accumulates underneath is a foundation rather than a feature. The data is yours, so the tools and products you want built on top of it later have somewhere to stand.

    The fitWho it's for

    Startups moving fast

    The IP is the company. It should not be sitting in a model somebody else trains.

    Businesses holding other people's material

    Confidentiality was yours to promise, not a vendor's.

    Companies where AI is already in the building

    People are pasting work into consumer tools because it helps. That is a decision being made without you.

    Anyone sitting on decades of work

    The archive is the advantage, and nobody can search it.

    QuestionsBefore you reach out

    Is this a subscription?

    No. You buy the system once, under a licence that does not expire. Twelve months of feature upgrades are included; a further year is optional. Nothing about the system depends on renewing anything.

    Why not just use a hosted AI tool?

    Your documents would leave your network, the price would move on someone else's schedule, and compliance would become someone else's policy. For the work that matters most, that is a trade most companies should not make.

    Will it be as good as ChatGPT?

    Not at the frontier, and it does not need to be. It is better at your work, because it has read your material and a general tool has not.

    What happens in eighteen months?

    New models swap onto the same hardware. The knowledge base, the integrations and the permissions are the durable asset, not the weights, so an upgrade does not start you over.

    What if there is a fire, or the hardware is stolen?

    Encrypted backup to a second site you control, or an encrypted copy sealed before it ever leaves the building. A tested restore is part of every deployment, not an add-on.

    What happens if we stop working with Tenure?

    The hardware and the knowledge base are yours, and the system keeps running. Support is a separate, optional contract, never a condition of the system working.

    Do we need Tenure involved day to day?

    No. Your own IT team can run it completely. We are as involved as you want us to be, and the system does not depend on us being there.

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