Private AI

    Private AI.
    The power of your brain, on your own hardware.

    You want the power of AI, but your most sensitive data must never leave the building. It does not have to.

    Two IT professionals at a server rack in an on-premise server room
    The worry that holds you back

    The data that would pay off most is the data you do not want leaving the building.

    Most AI asks something uncomfortable of you. To get value out of it, you send your data to a model running somewhere outside your organization. For part of your work that is fine. But the records that really matter, contracts, customers, finance, people, you do not want outside your walls.

    And so the power of AI stays just out of reach, precisely where it would deliver the most.

    It does not have to leave the building

    Instead of bringing your data to the AI, we bring the AI to your data.

    Your organization's brain runs on hardware you already own, often servers left over after a move to the cloud. Your data never leaves the building. Not one question, not one answer, not one consideration goes outside.

    01

    Your hardware

    Existing servers in your own building or data center.

    02

    The brain, private

    Definitions, processes and data form the foundation.

    03

    Nothing goes outside

    No question, no answer, no consideration leaves your environment.

    No miracle, just craft

    The power is not in the model, it is in the foundation underneath.

    First you get processes, definitions and data in order. Then the brain runs on top of it, privately, on your own iron.

    What you end up with is not a chatbot that occasionally says something useful, but a brain that knows your organization and whose every answer is formed inside your own walls.

    The brain comes to your people

    Not a separate place you go to, but something that comes to your people.

    A brain only has value when people use it. That is why it lives in the tools they already work in. And you do not have to choose between your brain and the agents you already have.

    Connected agents

    Microsoft CopilotDatabricks AgentbricksYour own agents
    • Microsoft Copilot
    • Databricks
    • Power BI

    They connect to the brain through a governed, inspectable connection. That way they all draw on the same trusted source of meaning, instead of loosely gathered context nobody can verify.

    You decide what each agent may see

    Every connection is governed and logged. Your private core stays private. What you share, you share deliberately, and it is always traceable.

    Ownership, down to the hardware

    At Datahub the meaning you build stays yours. With private AI that holds all the way down to the physical layer. Not just the knowledge is yours, but also the place it runs and the data that feeds it.

    No dependency on an external provider that can change its terms or prices. You own the whole thing.

    No charge per question

    Because the AI runs on your own hardware, you pay us nothing per token or per question. Your people and your agents can consult the brain as often as they like.

    The electricity it costs runs on iron you already own. The more you use it, the more value you get, without the bill climbing along.

    Two IT colleagues discussing a patch panel together in their own server room

    Private AI sits with you, but you are not on your own.

    We set it up, keep the models current and manage the environment remotely. What runs, where it runs and how it performs stays visible to you.

    You get the benefits of your own hardware, without the burden of maintaining it yourself.

    For those it matters to

    For organizations that keep sensitive data inside their own walls.

    Healthcare, government, financial services, and any organization that takes self-management seriously.

    It is a separate layer on top of the brain, for those who need the certainty of full self-management.

    A care professional and a public-sector colleague in conversation at a table in a care facility
    Three ways to run it

    You choose where your brain runs. The meaning stays the same.

    Every option gives you the same foundation, the same definitions and the same answers. What differs is where it sits, who holds the keys and how much you want to run yourself.

    01

    Fully offline on your own hardware

    The brain runs on servers in your own building or data centre, with no outbound connection. No external API, no question that leaves your perimeter.

    Fits
    Organisations with sensitive data, strict compliance or sites without reliable connectivity.
    We manage
    Setup, model updates and patches, delivered over a management channel you approve.
    You provide
    The servers, the network and physical access. Existing hardware with one or two GPUs is often enough.
    02

    In your own cloud

    The same layer, deployed into your own AWS, Azure or GCP account. You keep the keys, the logging and the bill.

    Fits
    Teams already working cloud-first that want to scale without running their own hardware.
    We manage
    Infrastructure as code, deploys through your DevOps pipeline, monitoring and model management.
    You provide
    The cloud account, the network design and your own key management.
    03

    Managed by us, in Europe

    European infrastructure, single tenant, fully managed by our team. The fastest route to a working brain.

    Fits
    Organisations that want to start quickly and have no capacity to run it themselves.
    We manage
    Everything: hosting, backups, updates, monitoring and support, with data residency in Europe.
    You provide
    The sources you connect and the definitions you set. You stay the owner of both.

    You are never locked into your first choice. Because the foundation is captured in code, you can move later from managed to your own hardware, or the other way around, without rebuilding your definitions.

    How to get started

    From first conversation to a working private brain.

    No large programme and no year of preparation. We start with one subject worth trusting and build the foundation underneath it.

    Week 1

    Scan and choice

    We map your sources, roles and existing hardware, then choose the model that fits: offline, your own cloud, or managed in Europe.

    Weeks 2 to 3

    Foundation and setup

    We install the environment, connect your first sources and capture definitions, roles and logging in code, so everything stays traceable.

    Week 4

    First subject live

    One concrete subject goes into use with a real department. Your people ask questions in plain language and can trace every answer back to the source.

    After that

    Expand and operate

    Every next subject builds on the same foundation. We keep models and patches current; you keep ownership and full visibility.

    Ask a question first
    Frequently asked questions

    On security and setup.

    The questions we get most often before a Private AI environment goes live.

    See it running at your place

    Request an on-premise demo.

    In a half-hour demo we show how Private AI works inside your own environment. Prefer to start with the commercial side? Then someone from sales joins instead.

    • Live in your own infrastructure
    • Reply within one working day
    • No obligations
    Request a scan

    Curious whether your hardware is suitable?

    Request a scan and we will look together at what is needed to run your brain fully privately.

    Read a customer story