Live Technical Demo
A synthetic nation-state with ten government institutions, 100,000+ citizen records, and zero lines of integration code connecting them. Watch a contagion trace cross four institutional boundaries in real time.
10
Government Domains
100,866
Citizen Records
0
Lines of ETL Code
7
SPARQL Queries
A volcanic island nation in the South Pacific, 1,600 miles east of New Zealand. Population 25,000. Three provinces. Nine cities. And a government that just rebuilt every one of its information systems from scratch.
In late 2025, the Republic of Cordova re-chartered its ten government information systems under the Semantic Data Charter. The old systems were siloed, incompatible, and query-blind across domains. A police officer running a background check couldn't see a tax filing. A port authority inspector couldn't verify a crew member's health clearance. A public health official couldn't trace a household from a hospital record. Every cross-agency request was a phone call, a form, and a wait.
The new architecture replaced all of it. Each domain—Civil Registry, Healthcare, Education, Employment, Business Registry, Property Registry, Tax & Revenue, Law Enforcement, Maritime Port Authority, and Vital Statistics—was modeled in SDCStudio and compiled into a single Django project: CordovaOS. All ten applications share one Reference Model, one knowledge graph, and one set of ontologies. There is no integration code between them. The interoperability is in the compiler output.
Western coast · Maritime hub
Central highlands · University province
Eastern plateau · National capital
Two months after the new systems went live, in January 2026, a cargo vessel named MV Estrella del Sur docked at Porto Sereno. One of its crew members, a port worker named Carlos Mendoza, presented at the city clinic with symptoms of a novel respiratory pathogen. The cross-domain infrastructure Cordova had just built was about to be tested under real pressure for the first time.
Patient Zero presents at a Porto Sereno clinic with symptoms of a novel respiratory pathogen. In a traditional architecture, tracing his civic footprint across agencies takes weeks of manual ETL work, data sharing agreements, and guesswork. CordovaOS does it in a single page load.
Civil Registry
Healthcare
Education
Employment
Law Enforcement
Maritime & Ports
Property Registry
Tax & Revenue
Business Registry
Vital Statistics
Each SPARQL query traverses the entire knowledge graph and returns exact, deterministic relationships. Watch the execution time.
Notice how queries move from a clinical encounter to a household roster to a port manifest to a school enrollment without any glue code.
Every connection is structurally guaranteed by the schema. There is no probabilistic inference, no fuzzy matching, no AI hallucination.
Three ways to explore CordovaOS, from guided narrative to hands-on queries.
Start at /demo/ to see the full landscape: record counts across all ten domains, GraphDB connection status, and system statistics at a glance.
Click The Contagion to walk through the crisis in seven narrative beats. Each beat executes a live SPARQL query that crosses domain boundaries in real time.
Open the SPARQL Explorer to run queries directly against the knowledge graph. Select from the built-in query library or write your own.
Each beat is a live SPARQL query that crosses institutional boundaries no traditional system could bridge without months of integration work.
Carlos Mendoza presents at a Porto Sereno clinic. The system retrieves his clinical encounter and identifies the pathogen.
Healthcare → Clinical Encounter
From Carlos's civil registry record, the query retrieves every member of his household—immediate exposure contacts.
Healthcare → Civil Registry
Carlos's employment record identifies his employer and all coworkers at the same facility—a second ring of exposure.
Civil Registry → Employment → Business Registry
The employer's business registry links to port manifests. Which vessels recently docked? Which cargo did the workplace receive?
Business Registry → Maritime & Ports
Household members have children in school. The education records identify every institution attended—a third ring of potential spread.
Civil Registry → Education
Property registry records locate the physical addresses of all identified contacts—enabling geographic containment.
Civil Registry → Property Registry
A single query assembles the complete contact trace: patient, household, coworkers, supply chain, schools, and properties. Every relationship is structurally guaranteed.
Healthcare → Civil Registry → Employment → Maritime → Education → Property
Under the Hood
CordovaOS is not connected by APIs, data lakes, or integration middleware. Every domain shares a single W3C-standard semantic graph because every record was modeled against the same deterministic reference architecture before it was allowed to exist.
Semantic Debt Paid Upfront
Every data model in CordovaOS is built on the SDC4 reference architecture. Strict W3C SHACL constraints enforce interoperability at design time, not integration time. When a record enters the system, it is already compatible with every other domain by construction.
One Graph, All Domains
All ten institutions write RDF triples into a single W3C-standard knowledge graph. Because the schemas share the same semantic foundation, cross-domain queries are native SPARQL—no federation, no joins, no mapping layers.
The Result
There are no ETL pipelines between domains. No data sharing agreements. No API adapters. No scheduled batch jobs. The contagion trace in the demo is a single SPARQL query that returns in milliseconds. This is what interoperability looks like when the semantic debt is zero.
CordovaOS is open source. Launch the live demo, inspect the source code, or contact us to discuss what this architecture could do for your organization.