Private ChatGPT alternative

A private alternative to ChatGPT your data never leaves.

Your team wants the productivity of ChatGPT. Your business cannot afford to send its documents to someone else's servers to get it. A private model on hardware you own gives you both.

The problem

Public AI tools weren't built for your data.

When your team pastes a contract, a record, or a client file into ChatGPT, that information leaves your network and lands on infrastructure you do not control.

On top of the exposure, the cost grows with every token your team spends, and you are tied to a provider that can change its prices, its terms, or which models it offers, at any time. For anything sensitive, that is a lot of risk to take on for convenience.

The alternative

The same assistant, kept in your building.

PRIVATE

Your data stays put

The model runs on your hardware, on your network. No prompts, no files, and no answers are sent to a third party.

FLAT

No meter

A predictable monthly fee instead of a bill that climbs every time your team leans on it. Use it as hard as you want.

YOURS

Tuned to you

Fine-tuned on your documents and your processes, so it is better at your actual work, and you own the result.

What you'd use it for

Everything you'd use ChatGPT for, privately.

Answers over your own documents, summaries and analysis, drafting and correspondence, an internal help desk, and automated workflows, all on your data. See the full list of use cases.

Common questions

Private ChatGPT alternative, answered.

Is there a private alternative to ChatGPT?
Yes. You can run a capable AI assistant entirely on your own hardware, using open models, so your prompts and documents never leave your network. Stavryn builds and manages that setup for you, so it works like ChatGPT for your team but keeps everything private.
Can I run a ChatGPT-like assistant on my own servers?
You can. Open models you host yourself now handle the large majority of everyday business tasks, and a model fine-tuned on your own data often does better on your specific work than a generic cloud model. The hard part is building and maintaining the system, which is the part Stavryn handles.
How is this different from ChatGPT Enterprise?
ChatGPT Enterprise still runs on someone else's servers, still bills per use, and still puts your data inside a third party's systems. A private alternative keeps the model and your data on hardware you own, with a flat cost and no outside dependency.