A universe of sovereign meaning, federated.
Vercy describes any domain as Dimensions, Namespaces, Objects, Projections and Events: a common language for composing meta-models across organizations, products and states, without surrendering sovereignty.
Meaning doesn't travel between systems.
Every product, organization and domain models the world in its own way. That knowledge lives in silos, so meaning breaks at every boundary and every integration is bespoke and brittle. Vercy is an open standard that lets independent models understand each other (federate meaning) without forcing everyone onto one schema.
Without a shared standard
N×N custom integrations · schemas drift · meaning is lost in translation · AI agents can't reason across systems.
With Vercy
Each model stays sovereign · maps once to a shared meaning · knowledge flows as verifiable projections · humans and AI read the same graph.
Six ideas describe any domain.
Vercy is small on purpose. A handful of nested primitives can express a product, an enterprise, or an entire state, and they compose the same way everywhere.
A sovereign semantic jurisdiction: one owner's world of meaning and the rules that govern it.
A management context inside a Universe: one coherent area of the model: a domain, a landscape, a state.
The unit of publication and discovery: a named, versioned meta-model others can reference.
A point of truth: a modelled thing, with its properties and relationships.
A shared view of an Object across a boundary: federation without giving up ownership.
A change on the semantic timeline: how meaning evolves, traceably, over time.
Sovereign models, one federated meaning.
Three moves take a model from isolated to interoperable.
Model
Describe your domain in Vercy primitives. You keep full ownership, versioning and governance. Nothing is centralized.
Compose
Reuse what the world already standardized. Bind fields to a registry of 1,180 external standards (embed an address, reference a currency, mix in provenance) instead of re-inventing them.
Federate
Map your meaning to a shared canonical reference and exchange verifiable Projections. A content fingerprint proves two models mean the same thing.
Three pillars.
Constitution
The rights and rules every participant honors: sovereignty, provenance, traceability.
Architecture
How a meta-model is built, versioned, validated, composed and packaged.
Federation
How sovereign Universes exchange meaning: identity binding, contracts, mapping, trust.
Made for people and for machines.
For people
Plain-language docs, guided tutorials and courses: from your first Dimension to a federated model. Multilingual.
For AI
Every page has a machine-readable twin: llms.txt, a spec index, JSON schemas and content fingerprints, so agents can read, reason over and implement the standard directly.
Start with the standard.
Open, vendor-neutral, Apache-2.0.