Self-hosted AI: keeping your data in-house
· Ian Bensley
For sensitive data, self-hosted AI lets you use modern models without sending anything to an external cloud. How it works and when it's worth it.
The number one reason businesses hold back on AI is data: 'we can't send this to someone else's cloud.' For sensitive or regulated work, that caution is right. Self-hosted AI is the answer.
What it means
Instead of calling an external AI service, the model runs on infrastructure you control - your servers or private cloud. Your data goes in and out of a system you own, and never trains anyone else's model.
The trade-offs
Open models are now good enough for most business tasks, so the capability gap is small. You take on some hosting and setup, in exchange for keeping data fully in-house - often the deciding factor in finance, government and legal.
When it's worth it
When your data is sensitive, regulated or a competitive asset. It's the foundation of secure AI implementation.
Ready to stop doing this by hand? Tell me what's slowing your business down and I'll give you an honest read on whether AI and automation are worth it for you - no pitch, no jargon.