Data engineers and developers
Authoritative schemas via API and MCP. Less guesswork, fewer integration errors, transformations driven by machine-readable definitions instead of rewritten code.
Who it serves
Six kinds of team keep meaning somewhere. One model lets them keep it together — data and pipeline, standards and ontology, API and interface, content and semantics, research and domain, business systems and contracts.
The people who structure knowledge already exist in your organization, usually in teams that don’t attend each other’s meetings. A core model is where what each of them settled becomes readable by the others — and by every agent.
Six constituencies, one model
| Who | What they bring | Connectors that serve them |
|---|---|---|
| Data, warehouse and pipeline | Manifests, catalogs, contracts — the structure the pipeline already publishes. | dbt · Snowflake · Google BigQuery · Databricks · Microsoft Fabric · Azure Synapse · AWS Glue · Airbyte · Apache Airflow · Confluent |
| Standards and ontology | The vocabularies an industry agreed on, and the ontology the organization maintains. | OWL · JSON-LD · ShEx · LinkML · Open Semantic Interchange · MACH ODM |
| API and interface | The shapes systems promise each other. | JSON Schema · Protocol Buffers · Apache Avro |
| Content, taxonomy and semantics | The vocabulary and structure the content team stewards — schema.org, SKOS, the taxonomy that took years to settle. | JSON-LD · Neo4j · MACH ODM |
| Research and domain | The codebook that is the schema of the study. | REDCap · cBioPortal |
| Business systems and contracts | The org whose schema can change in forty seconds from Setup, and the contract that says what the data promises. | Salesforce · ODCS |
Content and semantics people bring their vocabularies — a schema.org profile, a SKOS taxonomy, an ontology. CoreModels holds those as first-class models and maps them to the data and API schemas next door. It does not connect to a content platform; it connects to the structure the content platform was built on.
By role
AI and ML engineers
A structured, validated schema network agents query at runtime. Fewer hallucinated field names, correct data shapes, and pipelines that adapt when the model changes.
Enterprise architects
A governed, versioned view of relationships and dependencies across the enterprise, with industry standards — FHIR, schema.org — mapped rather than re-implemented.
Subject-matter experts
Define and manage business definitions and rules directly, collaborate without waiting for developers, and keep a traceable record for compliance.
Content engineers and taxonomists
The people who already steward a vocabulary become the authority every agent reads from. The structure they maintain stops being documentation and becomes runtime infrastructure.
Industry specialists
Domain models from the Schematica Library — healthcare, legal, e-commerce, web standards — adapted to the organization and mapped to its own systems.
Where it is used
Healthcare data modeling
Streamline mapping between FHIR resources, device schemas and clinical data structures. Co-develop and refine models across teams, implement transformations quickly, and keep the record a regulator can follow — so the organization spends its effort on patients and research rather than plumbing.
Cross-domain integration
Connecting CRM and ERP, harmonizing product catalogs across regions, bridging legal document repositories with case management: typed mappings and semantic validation that make one schema graph do the work of dozens of point-to-point scripts.
AI-ready knowledge infrastructure
Agents perform better when they understand the shape and meaning of data. A machine-readable schema network lets them validate inputs, generate transformations and adapt to change — reading authoritative definitions at runtime instead of inferring them from names.
Rapid schema evolution
Business rules and data structures change constantly. Visual editors, collaboration and automated validation let teams evolve a model in hours rather than weeks, while governance rules prevent drift and breaking changes.
Try it
Next in the frameworkThe Schematica Suite →CoreModels is the engine. The Suite is what it powers: the Schematica Library, the MCP server, the design plugins — and the wider ecosystem of standards they connect to.Start your 14-day trial
Nothing is charged during the trial. Plans and limits are on the pricing page.
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