AI for data that cannot leave the building
Most “chat with your data” tools work by sending your records to somebody else’s server. We build the other kind — running on hardware you control, with no third-party API in the loop.
The Problem
For a lot of businesses, the AI conversation ends at the same sentence: our data cannot go to a third party. Patient files, client records, anything under contract, anything a regulator will ask about later. The usual answer is to wait, and waiting is expensive — because the underlying problem, staff hunting through records by hand, does not go away while you do.
What We Deliver
What you get
- A model running on your hardware, or in a tenancy you control
- No third-party API in the loop and no data sent to any outside service
- Answers grounded in real queries against your records, not in the model’s guesswork
- Access controls that match who is already allowed to see what
- An honest account of what the setup can and cannot do before you commit
- Documentation your own IT or compliance people can read and check
How It Works
Our process
Establish the boundary
We work out exactly where your data is allowed to sit and what it is allowed to touch — usually with whoever owns that decision in the room — before any architecture is drawn.
Build inside it
We build against your real records on infrastructure you control, and prove the boundary holds by showing you what leaves the network, which is nothing.
Hand over
We document what runs, where, and why, so your own people can audit it and keep it running without us.
Use Cases
Where this makes a difference
Plain-English search over private records
Staff ask a question and get an answer from your own database, without an analyst in the middle and without the records leaving the building.
Regulated document processing
Clinical, legal and financial documents read and structured on infrastructure that satisfies whoever audits you.
Internal assistants on confidential content
An assistant that answers from contracts, policies and case files your organisation cannot upload to a public tool.
Next step
If your data cannot leave, it does not have to
Book a workflow audit and we’ll tell you whether a private build is realistic for your data, your hardware, and your rules.
What happens next
- You pick the workflow. We ask what already exists, who touches it, and where it stalls.
- We reply within one business day with a rough shape and a rough timeline — usually smaller than people expect.
- If it makes sense, the next step is a working system in two to six weeks, tested by your own staff.
- You keep your existing tools. Private deployment is available where data cannot leave.
- And if it is not worth building, we say so instead of selling you one.