Keeping Your Technology Data in Europe: Why AI Hosting Matters

When you feed your technology strategy into an AI-powered tool, you're sharing some of the most sensitive information your organisation holds: your architecture, your technology choices, your risks, your roadmap. It's the kind of data that paints a complete picture of your technical capabilities and vulnerabilities.

So where that data goes matters. A lot.

The Problem With Default AI Infrastructure

Most AI-powered SaaS products route your data through US-based cloud providers and large language model APIs without much thought. The data leaves your jurisdiction, gets processed on infrastructure you have no visibility into, and may be retained for model training or improvement purposes.

For European organisations — or any company subject to GDPR, industry regulations, or simply good security hygiene — this creates real problems:

• Data processed outside the EU may not meet GDPR adequacy requirements
• You lose visibility into where your data is stored and who can access it
• Some AI providers retain input data for model training unless you explicitly opt out
• Cross-border data transfers introduce legal and compliance complexity

This isn't hypothetical risk. It's the kind of thing that keeps CISOs up at night, and rightly so.

Why We Chose Scaleway

When we built nervespan's AI capabilities, we made a deliberate choice to host our AI infrastructure on Scaleway — a European cloud provider with data centres in Paris and Amsterdam.

This wasn't about cost or convenience. It was about alignment with our users' expectations around data handling:

• Your data stays in the EU throughout the entire processing pipeline
• Scaleway is a French company subject to European data protection law
• There's no US parent company with potential obligations under laws like the CLOUD Act
• We use Scaleway's Generative APIs, which are stateless — your prompts and outputs are not stored, retained, or used for model training
• Scaleway maintains full control over the service, hosting the models on its own European infrastructure without interaction with third-party services

When you use nervespan's AI features — whether that's extracting strategic elements from uploaded documents, generating insights, or getting recommendations — your data never leaves European infrastructure.

Data Sovereignty Is a Strategy Decision

For technology leaders, choosing tools that respect data sovereignty isn't just a compliance checkbox. It's a strategic decision that reflects how seriously you take your organisation's information security posture.

Consider what your technology strategy data includes:

• The systems you depend on and their interdependencies
• Known risks, vulnerabilities, and technical debt
• Planned initiatives and migration timelines
• Performance metrics and health indicators
• Vendor relationships and licensing details

This is effectively a blueprint of your technology estate. Sending it to opaque AI infrastructure with unclear data handling practices is a risk that's easy to avoid.

What to Look For in AI-Powered Tools

If you're evaluating tools that use AI to process sensitive business data, here are the questions worth asking:

• Where is the AI inference infrastructure physically located?
• Is your data used for model training or improvement?
• Does the provider use third-party AI APIs, and if so, which ones?
• What data retention policies apply to AI-processed content?
• Is the provider subject to non-EU data access laws?

The answers to these questions should be straightforward. If they're not, that tells you something.

Privacy as a Feature, Not an Afterthought

We believe that responsible data handling shouldn't be a premium add-on or an enterprise-only feature. It should be the default. That's why every nervespan plan — from the first user to the largest team — benefits from the same European AI infrastructure.

Your technology strategy is yours. The tools you use to manage it should respect that.