Semantic Data Architecture · Graz, Austria
True Data · Intelligent Systems
What I do
Schema & Ontology
Designing the conceptual frameworks that give your data meaning. Entity models, relationship structures, taxonomies, and metadata frameworks built for graph-based reasoning and machine discovery — the foundation on which everything else rests.
Quality & Governance
Establishing the standards that make your data trustworthy. Validation processes, provenance tracking, auditability frameworks, and compliance reviews that satisfy regulators and underpin reliable, explainable AI systems.
Classification & Enrichment
Transforming raw data into structured knowledge. Entity resolution, normalization, controlled vocabularies, and metadata strategies that support both human understanding and machine reasoning — turning noise into signal.
AI & RAG
Preparing data for the systems that depend on it. Structuring knowledge bases, graphs, and retrieval layers so your AI agents, RAG pipelines, and LLMs perform with precision — and can explain what they know and why.
About
Datenvalue is an independent data architecture practice working at the intersection of ontology engineering, semantic data design, and AI data governance.
With over 20 years of experience structuring information for the systems that depend on it, I work with organisations building AI systems, knowledge graphs, and intelligent pipelines where data quality, verifiability, and governance are not optional.
Current engagements include government-funded AI and space intelligence programs requiring robust, auditable, and machine-ready data infrastructure.
Core disciplines
Based in
Graz, Austria
Available globally · Remote-first
Contact
Engagements begin with a scoping call to understand your data landscape, system goals, and governance requirements. Typical projects run 2–24 months.
hello@datenvalue.atResponse within one business day