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For Public Institutions

Public data that speaks one language.

Meaningfy builds semantic interoperability solutions for EU institutions, member states, and public agencies — shared vocabularies, data catalogues, and reference data that keep meaning intact as data moves across systems, institutions, and borders.

The interoperability gap

Every institution speaks its own data language

Public data is abundant. Shared meaning is not — and that is what makes every exchange between institutions slow and expensive.

Standards don't align

Same directive. Different data.

Each institution implements the same standard its own way. Every exchange becomes a new harmonisation project, and cross-border services stay harder than they should be.

Silos across institutions

The data exists. Nobody can reuse it.

Valuable datasets sit in institutional silos — undocumented, unfindable, locked in local formats. Citizens, researchers, and policy makers pay the price.

Reporting burden

Every report, rebuilt by hand.

Cross-institutional reporting and EU obligations consume expert time reconciling definitions and code lists instead of producing insight.

Interoperability is not an IT integration problem — it is a meaning problem. Shared semantics, open standards, and governed reference data are how public data becomes exchangeable, reusable, and trustworthy.

What we deliver

Interoperability you can govern

Three building blocks public administrations actually need — built on open standards, delivered as open source wherever possible, with no vendor lock-in.

Interoperability

Semantic data specifications.

Ontologies, application profiles, and mappings aligned with EU standards — so institutions exchange data without losing meaning. We co-authored specifications like the eProcurement Ontology used across EU public procurement.

Data catalogues

Findable, documented, reusable data.

DCAT-AP-based data catalogues that make datasets discoverable across institutions and portals — properly described, versioned, and ready for reuse instead of buried in silos.

Reference data

One source of truth for code lists.

Controlled vocabularies, authority tables, and reference data governance — every system, form, and report uses the same official values, maintained in one place.

Proven in production

Built for and with EU institutions

Not pilots — production systems and specifications in daily use across the European public sector.

EU institutions eProcurement Ontology

One model for EU public procurement

We helped build the ontology that unifies public procurement data across the EU — the shared language behind interoperable procurement systems.

Publications Office TED Semantic Web Services

Procurement notices, past to future

Transforming the past, present, and future of EU procurement notices into linked, queryable, standards-based data.

Open source model2owl

Specifications, maintained at scale

Our open-source toolchain streamlines how semantic data specifications are developed, validated, and maintained over time.

Member states COVID-19 Analysis

Evidence for policy, from text

Semantic textual analysis of EU and member-state COVID-19 measures — turning legislation into data that supports policymaking and transparency.

Open standards. Open source. No vendor lock-in — the way public infrastructure should be built.

How we work

Start small. Prove value. Then scale.

No big-bang project and no platform to buy. Each phase ends with results you can evaluate before deciding on the next.

The first step is a 1–2 day workshop. That's the whole commitment.

  1. 01

    Discovery workshop

    1–2 days

    We map your data landscape with your teams, identify where unclear meaning costs you most, and select the highest-value use case. You leave with a written assessment and a recommended path.

  2. 02

    Semantic strategy

    4–6 weeks

    We design the foundation: target architecture for your environment, a governance model, and a prioritised roadmap — aligned with EU standards and your procurement realities.

  3. 03

    Proof of Value

    6–10 months

    We build the solution for the selected use case, on your data and your infrastructure, with success criteria agreed up front. Working software, not slides.

  4. 04

    Deploy & scale

    Continuous

    We extend across domains and hand over properly — training, documentation, and governance — so your teams own it. No dependency on us, no lock-in.

Find out what semantic interoperability would look like in your institution

A 30-minute call. We talk through your data landscape and whether a discovery workshop makes sense for your institution. You talk to an engineer, not a salesperson.

Request a free discovery call

30 minutes · No obligation · Open standards, no lock-in