Interoperability is what a healthy ecosystem does.
METALEVELS helps public administrations, data spaces and their suppliers design the shared semantics, registries and governance that let systems understand each other.
Semantics converge when the ecosystem is set up for it.
You know which models your ecosystem reuses, where meaning drifts and what to fix next. Every new model is designed to converge, and you can show that it does.
Observe the ecosystem
We map who publishes which models, who reuses them and where they run in production.
Govern shared assets
Each vocabulary gets an owner, a lifecycle and a clear status, so teams know what they can build on.
Measure convergence
We track two signals: modellers describing things the same way, and data in production confirming it.
What you can hand over to us
All servicesOntology engineering and knowledge graphs
Ontologies, semantic layers and knowledge graphs that give your data one meaning. We design them from the questions your people need answered and build them over the systems you already run.
Learn moreVocabulary and metadata governance
Code lists, classifications and thesauri your team can maintain with confidence. We assess them against the FAIR principles, set up the editorial workflow and tools, and train the people who own them.
Learn moreTaxonomy and classification design
Business classification schemes and taxonomies built from what your people know. We gather it through interviews and focus groups, structure it from top concepts down, and set up its governance.
Learn moreSemantic interoperability and data spaces
Data that crosses organisations and borders with its meaning intact. We bring interoperability into the first design decision, where it costs least: we align your models with what your ecosystem already adopts, prove the approach in data space pilots, and measure convergence with the EVIDENT framework.
Learn moreProven in practice
All workEVIDENT Registry
One place to see which data models an ecosystem reuses, where and by whom, with every indicator traced to evidence. The EVIDENT framework, put to work. Open to people, systems and AI assistants.
Learn more StandardsETSI EN 303 760
Contribution on how to select semantic models in data spaces, including the principles clause.
Learn more ResearchEVIDENT framework
A formal framework for measuring semantic convergence in governed ecosystems.
Learn moreEVIDENT: measuring semantic convergence
EVIDENT measures two signals of interoperability: convergence of design, when modellers keep describing the same thing the same way, and convergence of adoption, when data in production confirms the choice. The same expertise goes into our contribution to ETSI EN 303 760, on selecting semantic models in data spaces.
From the blog
All postsThe semantic cobra effect, part 3: counting every adopter
An adoption count measures reach. A governed ecosystem needs to know whether the parties it exchanges data with have converged, and the count cannot tell it.
Read the postThe semantic cobra effect, part 2: alignments that multiply
A mapping repairs one exchange and leaves the divergence that caused it in place. When programmes count connections as progress, the ecosystem learns to breed mappings.
The semantic cobra effect, part 1: mandates buy compliance
A mandate produces adoption of what it names. Semantic interoperability grows from the decisions taken below that line, after the audit.