Yours to run.
A dedicated OpenAI-compatible endpoint sits behind your existing applications. Capacity is assigned to your organisation alone and operated in Luxembourg.
The sameness risk
The same generic AI is being sold to every firm. Distinctive judgement becomes generic output.
Used on confidential work, generic AI carries your methods, terminology, and judgement through infrastructure you do not control. The work leaves your boundary. The learning returns nothing your firm keeps.
Three commitments define the boundary.
Each commitment becomes an operating fact before confidential work begins.
Yours to keep.
Approved prompts and outputs stay in a private, tenant-isolated interaction record under your policy: what is kept, who may inspect or export it, how long it lives, and when it is deleted. Alzette makes no independent or cross-customer use of it.
Yours to grow.
Because your prompts and outputs stay on record, they can be used to tune a model toward your firm’s voice — only with separate recorded approval. Every adapted release is versioned, compared, and reversible.
A capacity plan, not a token meter.
One approved model. Agreed dedicated capacity. A predictable monthly price. Growth changes capacity, not your integration boundary.
01Approve the modelOne model within the agreed service boundary.
02Assign capacityDedicated to your organisation at a predictable monthly price.
03Grow in placeThe URL, credentials, and boundary remain unchanged.
Board questions deserve operational answers.
01Where does it run?
In a tenant-isolated environment, operated in Luxembourg.
02What is retained?
Only the approved interaction record, under your recorded policy.
03What can change?
Only approved, versioned releases — reversible at your decision.
04Who answers when it fails?
Named responsibilities in the service agreement.
Retention, access, change control, and failure responsibility are defined as operational facts in the service agreement, not left as product assumptions.
From company to working endpoint.
Set the boundary, give people access, and start using your approved model from the dashboard.
Step 01
Create your company.
Sign up online, name your organisation, and you are the owner. No sales call, no procurement cycle - the boundary exists from the first minute.
Step 02
Invite your employees.
From the dashboard, invite work emails, organise people into access groups, and assign model endpoints per group.
Step 03
Create an endpoint.
An OpenAI-compatible endpoint with its own URL and credentials is ready the moment it is created. Point an application at it and play with the product immediately.