The European control plane for AI
AI, under
your control.
Give your teams room to build.
Keep a hand on what leaves, where it goes,
and what comes back.
Model choice. Sensitive-data protection. Evidence.
Help Alex Morgan
with their account.
Help PERSON_1
with their account.
The identity stays in your mapping.
Built for the way teams grow
One compatible endpoint
Explicit routing policies
A record of every decision
01 / Make room for ambition
Your next AI idea shouldn’t
start with a compromise.
The useful part of a prompt is its context. Sometimes, that context comes with names, contact details or account references attached.
Euvyra is designed to separate what a model needs from what you need to protect. So your teams can choose their models with clear boundaries around their data.
02 / Follow the request
Interactive example · Fictional data
See what leaves.
And what stays.
A name becomes a placeholder. The model works with the context. The original details return where they’re needed.
Follow a request, one step at a time.
The original prompt
Write a friendly reply to Alex Morgan about account AC-4821. Ask them to confirm their delivery address at alex@example.com.
What the model receives
A useful response
The useful context and the original identifiers start together in your application. In this example, three details need a separate boundary.
policy: approved-models-v1
route: approved-provider
outcome: restored
Recorded
An illustration of the architecture, not a live model call. Replacing identifiers reduces exposure; context can still contain personal information. Detection and deployment boundaries need to be tested for each use case.
03 / A place for every responsibility
Three parts.
One accountable flow.
Router
01
Where may this request go?
One OpenAI-compatible interface for model access. Apply your routing policy, select an approved destination, and keep the same constraints when a route fails over.
MODEL CHOICE, WITH GUARDRAILS
Vault
02
What stays under your control?
A private, tenant-scoped mapping connects placeholders to original identifiers. Give access to the mapping its own boundary, separate from access to the model.
THE IDENTITY BEHIND THE PLACEHOLDER
Ledger
03
What can you explain afterwards?
Connect the policy decision, route and processing events in a request record. Give platform, privacy and risk teams a common starting point for review.
EVIDENCE THAT FOLLOWS THE REQUEST
The thinking behind the platform
A short read.
A clearer picture.
Five pages on the case for control, the journey of a request, and a practical way to run your first pilot.
PDF · 5 PAGES · SENT TO YOUR INBOX
04 / Good questions
Let’s make
it clear.
A few things worth knowing
before your first request.
What does Euvyra actually do?
Euvyra is a European control plane between your applications and their AI models. It brings together policy-based model access, replacement of detected sensitive identifiers, and request-level evidence. Your application uses an OpenAI-compatible endpoint.
What are dehydration and rehydration?
Dehydration replaces detected identifiers, such as a name or account reference, with consistent placeholders before a request reaches a model. Rehydration uses the private mapping to restore those details in the response for the authorised application.
Does the model see my original data?
In the illustrated flow, the model receives the transformed prompt with placeholders for detected identifiers. It still receives the remaining context. Detection can miss information, and context can reveal personal details, so this is a reduction in exposure rather than a promise that all personal data is removed.
Where does the private mapping live?
The deployment defines the boundary: a client-side process or a configured control-plane environment. Mapping access, key custody and retention should be agreed for your use case. Access to the identity mapping is kept separate from model access.
Can we choose our models?
Model choice is governed by your routing policy. The Router selects an approved model and destination through one compatible interface. Supported providers, deployment options and fallback behaviour are part of the pilot discussion.
Does using Euvyra make us GDPR compliant?
No single tool establishes compliance. Pseudonymisation can reduce risk, and request records can support review. Your organisation still needs appropriate governance, lawful processing and deployment controls. Our whitepaper explains the distinction and links to the relevant GDPR provisions.
What would a first pilot look like?
Start with one bounded workflow and a named owner. Agree on data and routing rules, test sensitive edge cases, exercise failure paths, then review the evidence together. Platform, privacy and risk owners should agree on acceptance criteria before expanding access.
Design partner programme
Bring your
next big idea.
We’ll bring
the boundary.
Building with AI in a scaleup or enterprise?
Let’s find a useful first workflow together.
01
One focused use case.
A shared definition of success.
Tell us what you’re building.
A little context is a good place to start.
Your details are used to follow up on your interest.