Private AI explained
What is private AI, and why does it matter?
Private AI means the AI your business relies on runs on infrastructure you control, with your data staying where it belongs. It is the difference between renting intelligence and owning it.
Rented AI
- Your prompts and files are processed on someone else’s servers
- Costs scale with every user and every token, indefinitely
- Terms, prices and models can change without notice
- Data is scattered across tools that do not talk to each other
- Easy to connect, easy to lose control of
Private AI with Adam AI
- Models run on your own hardware for private work
- You own the platform, so the cost of the hardware is known up front
- Cloud models are optional, on your own account, with caps
- One private company memory every agent can use
- Guardrails, approvals and audit built in
Easy AI connectivity does not make the risk any smaller
Connecting a public AI tool to your email, files or finance system takes minutes. Working out what it can see, what it costs and who is liable takes much longer. Is your board happy to pay the bill?
What can it see?
An AI connected to Microsoft 365 can read whatever the account behind it can read. Most businesses have never checked.
What will it cost?
Usage-based AI without spending limits can run up large bills unnoticed, and the bill lands on whoever owns the subscription.
Who is accountable?
Data protection law still applies. The business stays the data controller, whatever the AI tool does with the data.
We recommend an AI readiness review before anything is connected. See how it works.
Built for businesses that cannot afford to get AI wrong
Regulated firms
Financial services, legal, healthcare and others where client confidentiality is not optional.
Growing SMEs
Teams that want the productivity of AI without a per-user bill that grows faster than the business.
IT teams and MSPs
People who want an AI platform they control end to end, on their own hardware and their own terms.
Talk to us about private AI
A no-obligation conversation about what your business could run on its own AI, and what it would take.