Comparison
Sovereign AI vs OpenAI
GPT is a powerful general model you access through an API. Sovereign AI is a model you own, specialised on your domain, inside your perimeter.
By James Drayson
In short
OpenAI provides powerful general-purpose models through an API: you send your data to their servers and rent access per token. Sovereign AI from Locai is a model you own, post-trained on your proprietary data and deployed inside your own perimeter, so nothing leaves and nothing can be deprecated under you.
General-purpose vs domain-owned
OpenAI's models are excellent generalists and ideal for many consumer and prototyping use cases. The trade-off for an enterprise is structural: your prompts and documents are processed on a third party's infrastructure, the model is frozen between releases, and you never hold the weights.
Sovereign AI takes the opposite stance. A strong base model is post-trained on your data so it becomes an expert in your domain, and it stays inside your perimeter as an asset you own and continually improve.
Own a sovereign model vs rent GPT via API
| Sovereign AI (Locai) | OpenAI API | |
|---|---|---|
| Own the weights & IP | Yes | No |
| Where your data goes | Stays in your perimeter | Sent to OpenAI |
| Specialised on your domain | Yes, post-trained | General-purpose |
| Improves on your data | Yes, continual learning | No |
| Deprecation / change risk | None | Models retired & changed |
| Cost model | Fixed, owned | Per-token, recurring |
| Air-gapped deployment | Yes | No |
What this looks like with Locai
Sovereignty stops being a contractual promise when the machine is standing in your own building. Here is what that looks like in practice.
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 a sovereign model match GPT quality?
On general trivia a large generalist may lead, but on your specific domain a model post-trained on your data routinely outperforms a larger general model, because it reasons in the language of your organisation.
Can I use OpenAI and Locai together?
Yes, many organisations use a general API for low-sensitivity tasks and a sovereign owned model for sensitive, core, or regulated workloads.
What happens to my data with each?
With Locai, data stays inside your perimeter and is never sent out. With an external API, prompts and documents are transmitted to the provider's servers, subject to their terms.
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.