They take your data
Prompts, uploads, and chat history leave your shop and live on someone else’s stack. You rarely see the full copy.
Private AI
Private AI that stays with your work.
Public AI services are easy to try and hard to trust with client files. We set up a local or dedicated private model, trained on your work, that you control.
What public AI services do with your work
A general chat box is not a filing cabinet. These are the usual costs of using one on real jobs.
They train on you
Drafts, pricing, and the way you work can become fuel for a model you do not own and cannot retire.
Leak and lock-in
One paste into the wrong box can expose a client. Once the team depends on the service, leaving is slow and messy.
You do not control the model
Features change, access changes, and you cannot see what the model does with a file — or stop it on your terms.
A model that works for you, on your terms
Private AI means the model is yours to run, point at your archive, and turn off.
Local or dedicated
Run it on your premises, or as a dedicated private cloud you control. Not a shared public service that mixes tenants.
Trained on their work
We train on your templates, your tone, and your finished jobs — so it helps your people, not a general model.
Data stays with them
Files stay in your custody. You choose who can reach the model. You can revoke access and keep the archive.
This is about control and a smaller surface — not a claim that any system is sealed from every risk. Good practice still applies: who is allowed in, what they can paste, and how you review output.
Public AI services vs private AI
Public AI services
- Where data lives: leaves with the prompt.
- Training: may use your work to improve a shared model.
- The model: shared. You do not run it or retire it.
- Leaving: workflows stick to the service.
- Exposure: one paste can travel farther than you meant.
Private AI
- Where data lives: stays with you.
- Training: trained on your work, for you.
- The model: yours to run, update, and retire.
- Leaving: you keep the files and the model.
- Exposure: you decide who is allowed in.
Who it is for
Client files
Teams that cannot treat a public chat box as a place to drop contracts, medical notes, or unfinished work.
A way of working you own
Shops with templates and process they do not want absorbed into a general model anyone can query.
Operators who want the switch
People who want a model they can point at their own archive — and turn off without asking a public service.
Talk through a private setup
We will map what should stay local, what a dedicated private model can take on, and what still needs a person.
Get started