Same product, same releases.
Not a marketing build, not a trimmed preview. It is deployed by the same factory, from a tagged release and a clean checkout, and it reports its own version like any other deployment.
The product's own first deployment, running the same releases every other deployment runs.
Most private AI is sold from a slide deck and a screen share. The first deployment of this platform is our own, it is the same product a client gets, and it is open. Register with an email address and go through it yourself.
The platform's reference deployment is also the live demo. It runs from the same tagged releases, the same content policy enforcement and the same administration model as every other deployment, which is the only reason it is worth your ten minutes. It is stood up by the same factory, from a tag that exists in a repository, and it reports its own version like any other deployment does.
Not a marketing build, not a trimmed preview. It is deployed by the same factory, from a tagged release and a clean checkout, and it reports its own version like any other deployment.
An email address gets you in. Form your own view of the product first, then decide whether a conversation is worth booking.
Your brand is not on it, your documents are not in it, your people are not in its directory, and none of your modules exist here. Treat everything you type as visible to us and to other visitors.
| Surface | In the demo | In your own deployment |
|---|---|---|
| The dashboard | ✓Ours, in our brand | ✓White-labelled at build time. Your name, not ours |
| Chat and the model selector | ✓Streaming, sessions, attachments, model and region choice | ✓Same, over the model set decided with you |
| Knowledge base toggle | △Over documents we loaded, shared with every visitor | ✓Over your documents, readable the same way by every user of your deployment |
| Usage view | ✓Your own tokens, quota gauge, by day | ✓Per person, plus usage by subject for administrators |
| In-product docs and the "your plan" page | ✓Our deployment's resolved controls and standing exceptions | ✓Yours, generated from the same typed object that builds your infrastructure |
| Administration | ✕Not open to a visitor | ✓Users, roles, grants, quotas, audited transcript reads |
| Modules | ✕Nothing admitted for you to see | ✓Admitted per deployment, on their own origins |
| Your data | ✕None of it, and please keep it that way | ✓At rest in a cloud account you own and are billed for |
The row marked with a triangle is the one worth reading twice: it describes the product, not the demo. Chat and knowledge, with its limits →
Step four. Almost every AI product will show you a chat window. Very few will show you, inside the product, a generated statement of which controls are on, which are not, and what remains unclosed on that specific deployment. We show you, inside the product, what we have not yet closed.
Everything loaded into a deployment's knowledge base is readable by every user of that deployment, and this one has other visitors in it. Use documents you would be comfortable handing to a stranger.
It's not a black box. You can see how it's set up, and that's exactly what lets you answer for it.Why the demo is open at all
Once you have looked, the assessment is the bounded step that turns what you saw into a deployment shape for your own account. You keep the deliverable either way.