Private work may leave your hands.
You may not know where a tool sends a file, how long it keeps it, or who can see it.
Private AI help for teams that care where data goes
Use AI. Keep your data in your hands.
Learn how to test open-source and open-weight models. Build an agent on your own machine or server. See what it can read, what it can save, and what it can send.
LOCAL MODELS · OPEN SOURCE · OPEN WEIGHTS · PRIVATE SERVERS · DATA RULES · AGENT TOOLS · AGENT MEMORY
Cloud AI is easy to start
The hard part is knowing where your data goes.
Your team may paste client notes, plans, code, or files into AI tools. You need clear facts before you can trust that work.
A vendor can change the deal.
Price, limits, model access, and rules can change. Your key work should have a safe plan B.
An agent can reach too far.
An agent may read files, call tools, or save facts. Each power needs a firm rule.
“Open” can mean many things.
Open source and open weights are not the same. The license and files tell you what you can use, study, change, and share.
The Open Source Initiative sets a high bar for the term open-source AI. Many models share their weights but not all of the parts needed to study and remake the model. We name that gap. Read the definition ↗
Four lab topics
Build control one clear step at a time.
We post the date, model, tools, and goal before each lab.
Draw where your data goes
List each file, tool, model, log, and person in the path.
Run a model on your own machine
Use a tool such as Ollama. Test speed, fit, and limits.
Ask questions about private files
Build a small search tool. Keep the files in a place you choose.
Give an agent one safe job
Set a short tool list. Save only the memory it needs. Keep a stop switch.
What you take home
Know where your data goes and who controls each part.
Know what can stay on your machine.
Know what each model license lets you do.
Set tight rules for agent tools and memory.
Keep a clear path away from one vendor.
Quick answers
Before you book.
What does sovereign AI mean here?
It means you make the key choices. You choose where the model runs, where data is kept, who can use it, and which tools an agent can call.
Are open source and open weights the same?
No. Open weights give you the trained model weights. True open-source AI also gives broad rights and the key parts needed to study, change, and share the full system. We check the license and files for each model.
Do I need a large computer?
It depends on the model and job. Many small models run on a laptop. Large models need more power. We can map the need before you buy gear.
Will this make my system private and compliant?
No class can prove that on its own. Privacy depends on the full setup and how your team uses it. Laws and rules also vary. We help you map the system and set clear controls. This is not legal or audit advice.
Do I need tech skills?
No. We can start with a plain data map and a small local model. If you have a tech team, we can go deeper.
Own the key choices
Build AI you can see, test, and control.
Start with one private task. Learn how to pick the model, place the data, and set safe rules for the agent.