Data Sovereignty
The ability of an organization to exclusively and independently decide on the use, exploitation, and sharing of its own machine and process data – independent of manufacturers (OEMs) or cloud providers.
What is Data Sovereignty?
Data sovereignty goes beyond mere data security. While security means that your data is not stolen, sovereignty means that you alone decide what happens with the data. It is the difference between "I have the key to my house" and "I am allowed to decide who enters my house and how I furnish it."
In Industry 4.0, this is the critical factor for competitiveness: Whoever controls the data controls the value creation.
The Problem: The External Sovereignty Trap
Many manufacturing companies are unknowingly in a dependency. Machine manufacturers and SaaS providers often store process data in closed ecosystems ("silos").
The Lock-in: You often only have access to your own raw data for a fee or not at all.
The Black Box: You do not know if your data is being used to train AI models that are later sold to your competitors.
The Innovation Brake: You cannot conduct cross-factory analyses because the data from different manufacturers is not compatible.
Our Approach: Sovereignty through Standards
True data sovereignty requires an architecture that ensures both technically and legally that data sovereignty remains with the producer. Hahn PRO redefines the rules for this:
Validated Architecture: Our solutions are based on the research projects SealedServices and SMiLE (funded by the BMBF), which develop mechanisms to enforce usage conditions directly on the data.
DIN SPEC 91513: We not only use standards, we write them. As a co-author of this standard, we define maturity levels for fair data exchange in the industry.
Source Available: To guarantee maximum independence, we offer enterprise customers insight into the source code.
Why Sovereignty Pays Off
Investment Protection: Your data belongs to you, even if you switch software providers.
Legal Certainty: You are prepared for upcoming regulations like the EU Data Act.
Asset Intelligence: Only those who have access to all data can train an AI that truly understands how the factory works.