Sovereign AI,
built for Europe.

Integrity and sovereignty were meaningful, tangible values to us decades before these words became IT-business jargon. That's also why we're fascinated by the ability to build electronic "brains" for the benefit of all. And the problems coming along with that huge leap concern us equally.

Over the years we saw tremendous efficiency gains in our IT landscapes. We also saw growing dependencies — vendor lock-in, data lock-in — arising for individuals and organizations, as soon as they had fully adopted a once-frontier IT technology. Europe can overcome these conditions and take part in the "AI Revolution" on its own terms. We want to contribute. Whenever a needed technological layer can be built around or replaced by an independent, Europe-based one, we will put it on our roadmap.

With the right strategy and tools, organizations can tackle the challenges of using AI technologies and keep intellectual property in their own hands. We are developing Alveraign, driven by a deep desire to build a Europe-centric, yet decentral AI platform. At the core, our goal is to deliver an efficient, flexible, and solid foundation for AI use cases that is used by a variety of profit-oriented as well as nonprofit-organizations.

Alveraign delivers flexible, agentic AI workflows — accessible through chat and API, built on a multi-tier "cognitive" memory structure. Users build their own scenarios on top of the platform. They decide whether they want a 1:1 chat with an agent, pre-defined squads of agents, or ad-hoc groups assembled for a specific task.

Organizational knowledge sources — such as manuals, SOPs, ongoing correspondence — can be included, and new knowledge accumulates day by day from actual use. Relevant information carriers — such as important partner organizations, competitors (say, "Acme Inc."), or customer types (say, "Security Seeker") — are implemented as digital twins. Agents can embody these personas on demand, so users gain specific insights from the simulation.

Product owners or administrators calibrate the Alveraign AI system by setting one specific system prompt and a multitude of individual roles, goals, stories and tools for each agent or predefined entity.

Large language models (LLMs) can be used "out of the box," but also highly individually configured — as standard or fallback model for each agent.

First things first: The real business project is just about to start. What we have, is a promising technical breakthrough. Today, Alveraign lives on an on-prem system in northern Germany. Two applications are live — a chat interface and an administration dashboard — both reachable through a European identity provider and protected by production-grade authentication. End-to-end login and security boundaries have been verified. Under the hood, the platform uses Europe-aligned components wherever it reasonably can, with a clear plan for replacing the rest over time.

Over the next three months, we're focused on two things: replacing interim authorization with proper role-based access control, and beginning proof-of-concept conversations with early partners. Cloud deployment, multi-tenancy, and on-premise packaging will come later — when a real customer need shapes them, not before.

In other words: Alveraign is not yet a shippable product in the enterprise-catalog sense. It is a working platform, actively developed, with a clear path from where it is today to where it needs to be. If that clarity matters more to you than glossy readiness claims, we're probably having the right conversation.