Sovereign AI

Use AI with your company’s knowledge, without giving up control of your data. Choose your own infrastructure. Keep your existing permissions. Get data protection that actually works.

Why AI is a data protection issue

Employees are already using AI tools every day. That means company knowledge, contracts, customer data, calculations, and source code are leaving your environment for the first time. Popular U.S.-based services can’t always guarantee what happens to that data.

Three points you need to know…

US law applies regardless of server location. US providers are still subject to the US CLOUD Act, even when they operate data centers in Europe. Depending on the circumstances, that can affect who may request access to your data. If you’re handling personal data or trade secrets, that’s worth considering.
Data use depends on the fine print. Not every AI service treats your data the same way. Whether your prompts are retained, reviewed, or used for model improvement depends on the provider, your subscription, and your settings. In practice, employees often default to free tools, where oversight is limited.
You’ll need to explain how AI handles your data. GDPR already requires accountability for personal data. The EU AI Act adds new obligations. If you use AI, you’ll need to show what data your systems process, where it’s processed, and who has access.

The answer isn’t giving up on AI. It’s building AI where value and control come together. That’s sovereign AI.

What we build

We build AI solutions that go into production. Not experiments. In our experience, these three approaches work best, and most projects start with one and grow from there.

The most common starting point

Internal AI assistant

Employees can ask questions, draft content, summarize documents, and automate routine work through a private AI assistant that runs on infrastructure you control.

The biggest lever

AI-powered knowledge search

Ask questions in plain English and get answers from contracts, documentation, project files, and internal wikis, complete with source references.

For product owners

AI product features

Need AI features in your product? We build them so your customers get the AI experience they expect without compromising data privacy.

Lay the groundwork for secure, sustainable AI in your company.

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The principles we build on

Sovereignty is a built-in feature …

Choose where your AI runs. Run it in your own data center or with a European cloud provider. You decide where your data is processed.
Choose the AI model that fits. Use European, open-source, or commercial models. Switch models whenever your requirements change.
Your data doesn’t train anyone else’s models. Your documents are used to answer your employees’ questions, not to train third-party models.
Permissions and traceability. Employees only get answers from documents they already have permission to access. Every interaction is logged, including the sources used to generate the answer.

From use case to production

PHASE 1

2 to 3 weeks

Use cases and data check

Outcome: We identify the two or three use cases with the highest potential, review your data, and recommend the right infrastructure and AI model.

Roles involved: AI engineer, solution architect

PHASE 2

4 to 8 weeks

Pilot with real data

Outcome: We build a working pilot using your own data and test it with a small group of users. You’ll know what works before rolling it out more broadly.

Roles involved: AI engineer, backend engineer

PHASE 3

Ongoing, based on your operating model

Production rollout

Outcome: Company-wide rollout, run by your team or ours, ongoing improvement of answer quality, and new knowledge sources added over time.

Roles involved: AI engineer, DevOps, support

Trusted by great companies

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Get a first read on effort, architecture, and implementation options within 24 hours.

Don’t worry: the information you share is only used for business purposes. You’ll find more details in our privacy policy.

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Would you rather speak directly with our expert? Tell us what’s prompting it: a question from an auditor, pressure from a client, or a cloud bill that finally got your attention. You’ll get an honest answer, even if it’s that this can wait.

Miki
Senior Consultant
miki@decode.agency

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Still unsure about something?

Don’t worry, whatever it is, we’ve got you covered in our FAQ.

What does getting started with sovereign AI cost?

Phase 1 and the pilot are structured as fixed-price packages.

The exact figure depends on your data and use case, and we narrow it down in the first conversation. The principle is the same as with the cloud analysis: clear scope, fixed price, no obligation to continue.

How do we present data protection to the works council and data protection officer?

With evidence, not promises: where processing happens, what permissions apply, what gets logged, and confirmation that no data feeds into external training.

We provide the technical documentation for your data protection impact assessment and we’re available to align directly with your works council and data protection officer.

How is this different from Microsoft 365 Copilot?

Copilot is deeply embedded in the Microsoft ecosystem and processes your content within their framework.

A sovereign solution runs on infrastructure you choose, connects to knowledge sources beyond Microsoft, and lets you switch models or providers.

For many companies, the honest answer is actually a combination: Copilot for Office tasks, a dedicated solution for sensitive company knowledge.

Our employees already use public AI tools. Isn’t it too late to do anything about it?

Quite the opposite, that’s the best reason to act now. Bans don’t work, as experience shows.

A better internal option does: an assistant that’s just as convenient to use, minus the risk of company data ending up somewhere you don’t control.

Are European and open models good enough for enterprise use?

For typical enterprise tasks, meaning questions about your own documents, writing, summaries, and general support work, today’s European and open models deliver results that hold up in daily use.

Where a top US model is genuinely the best fit for a specific task, you can still integrate it through European hosting.

Not sure where to start with AI?

In a free 30-minute call, we’ll figure out which use case pays off fastest for you and is the best fit for your workflows.

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Certification and compliance

ISO 27001 certified

Azure, AWS, GCP certified

AI data governance certified