Explainer
Air-gapped AI
Running a capable LLM on fully isolated infrastructure, no internet, no external calls, for the most sensitive environments.
By James Drayson
In short
Air-gapped AI is a large language model deployed on isolated infrastructure with no connection to external networks, so it can operate on the most sensitive data without any possibility of that data leaving, the standard for critical infrastructure, regulated industries, and IP-sensitive research.
When you need air-gapping
- Regulated industries: Finance, healthcare, legal and public-sector workloads where data cannot leave the organisation.
- Critical infrastructure: Energy, utilities, and telecoms operations where resilience and isolation are mandatory.
- IP-sensitive research: Unpublished science and proprietary IP that must never reach a third party.
Why an owned model is essential here
You cannot air-gap an API, calling an external model requires a network path by definition. Air-gapped operation is only possible with a model you own and run locally. Because Locai gives you the weights, the model can be deployed entirely inside an isolated environment and still be kept current through controlled, offline retraining cycles.
What this looks like with Locai
Running AI locally means assembling hardware, a model and a serving stack that work together. Here is what it looks like when that arrives as one product.
Locai Labs builds Locai One, an on-prem AI appliance. It is one machine that arrives with everything already in it: the hardware, our open-weight Locai Juno models, and Locai OS, the operating system that serves the models and handles users, access and monitoring. You plug it into a mains socket and your network, and your team is working in about 15 minutes. No cloud account, no per-token bill, and nothing leaving the building.
The reason a data-centre-class model fits in a box on your floor is SPACE, our compression algorithm. Instead of asking how much of a model can be cut while keeping it broadly similar, SPACE asks what the model needs to be good at, preserves the subnetworks behind those capabilities and strips back the rest. The result is a smaller specialist rather than a shrunken generalist, tuned to the exact hardware it ships on.
Locai One starts at £29,950 for a team, and Locai One Pro at £49,950 for an organisation, bought once and owned outright. Both run air-cooled on standard mains power and work fully air-gapped. Any compatible open-weight model runs alongside Juno, and if you need a model trained on your own proprietary data we can post-train one and deploy it on the same machine.
Frequently asked questions
Can an air-gapped model still be updated?
Yes, through controlled retraining cycles performed inside the secure environment, so the model improves without ever opening a network path.
Is an air-gapped model less capable?
No. The same domain-specialised, owned model runs air-gapped; isolation is a deployment choice, not a capability limit.
Can any LLM be air-gapped?
Only models you can run yourself. Hosted APIs require external connectivity, so air-gapping requires an owned, locally deployable model.
Book a sovereign AI briefing
A 30-minute session on owning your model: deployment options, the data path, and a clear cost range for your use case.