VLIRTZ

EU-based, EU-wide

AI Software Agency & AI Consulting in Europe

VLIRTZ is headquartered in Stockholm and works with companies across the EU and EEA. GDPR-native by default, delivered remotely, with on-site visits when a project needs one.

Working in Europe

What European companies ask us first

Companies operating across two or more European markets usually have the same problem twice: a workflow that works in one office and not the other, because it depends on one person's judgement. We build the version of that workflow an AI agent can run consistently, then hand over the parts that still need a human.

What we do here

AI agent development, AI consulting, and AI lead generation for Europe

Every engagement starts with one workflow, not a platform pitch, whether your team is in Europe or working with us fully remote.

MacBook on a desk showing a code editor

AI Agent Development in Europe

We design and build AI agents that perceive context, plan across steps, and take action in your tools and workflows, with humans in control of the important decisions.

Team in a consulting meeting around a desk

AI Consulting in Europe

We help you choose the right use cases, architecture, and rollout plan, from first experiment to something your team actually uses.

Developer reviewing work on a widescreen monitor

AI Lead Generation in Europe

We use AI to identify, score, and engage potential customers from public and first-party signals, so sales time goes to people who are actually interested.

Common questions

Working with VLIRTZ from Europe

Which European markets do you cover?
We work with companies across the EU and EEA. Dedicated pages exist for Stockholm, Zurich, Amsterdam, and Copenhagen; other markets are handled the same way, remotely with on-site visits when useful.
Is our data required to stay in the EU?
By default, yes. We keep customer data in the EU and document the legal basis and processors for each project under GDPR.
Do you work with multi-country teams?
Yes. Cross-border SaaS and multi-market operators are a common fit, since the underlying workflow problem is usually the same in every market.