Make data structure and meaning transparent, governable, and reusable — across teams, systems, and AI workflows. One place for business logic, transformation rules, and schema definitions.
When schemas are hidden in code, teams lose alignment and AI systems lose context.
Bridging the gap between humans, systems, and AI
When schemas and transformation logic are hidden in code, subject matter experts rely on developers for every update, and AI systems lose context. CoreModels exposes and connects these definitions, establishing a shared foundation where humans and machines interpret data consistently.
CoreModels functions as a structural and semantic control layer that governs transformation across data systems. It manages how data is reshaped, validated, and mapped — ensuring every transformation maintains consistency with both technical definitions and business meaning.
A graph-based low-code modeling platform built on adjustable meta-model templates supporting JSON Schema, JSON-LD definitions, YAML-based workflows, and custom formats designed to align with your organization's unique data structures and integration logic.
Model, extend, and connect structural and semantic definitions within a unified environment — ensuring resilience as data ecosystems change. This approach minimizes duplication, prevents schema drift, and ensures reliable, governed data flow across distributed architectures.
Centralized Models and Mappings
All your schemas, mappings, and business logic in one connected graph — accessible to every team and system.
All structural and semantic definitions live in one connected graph, accessible via intuitive UI and APIs. No more hunting through scripts, notebooks, or integration code.
Define how model entities relate across systems. Preserve business meaning, enforce constraints, and ensure interoperability between different data formats.
AI agents, services, and developers query authoritative schemas at runtime rather than relying on hard-coded assumptions or outdated documentation.
Collaboration Without Bottlenecks
Empower every stakeholder to contribute — from business analysts to AI agents.
Business experts can add, modify, and manage definitions and rules directly. No developer intervention required for schema changes.
Collaborative editing with suggestions and comments keeps everyone aligned. Work together on data models like you would on a shared document.
Track changes, generate reports, and maintain a full history of your models. Know who changed what and when across your entire schema library.
See CoreModels in action

CoreModels provides visual editors for entities, relationships, and constraints — letting you build and evolve data models without writing code. Everything is connected in a single schema graph.

CoreModels comes with default meta-model templates for common formats — all customizable. Extend existing templates or build your own to match your organization's needs.

Collaborate with your team on data models in real time. Get feedback, make changes, and ensure everyone is on the same page with built-in suggestions and comments.


Fine-tune your data models to meet specific needs. Specify required attributes, create custom relationships, and control every detail of your schema definitions.

Built as a cloud-native service, CoreModels scales to handle large datasets and complex model libraries. It integrates smoothly into your existing stack and keeps performance high as your usage grows.
The Schematica Library is a community-driven catalog of production-ready data models, ontologies, and taxonomies. CoreModels is the engine that powers it — turning knowledge discovery into knowledge execution.
Browse the Schematica Library — a community-driven catalog of production-ready data models, ontologies, and taxonomies spanning 20+ industry domains.
Import any model into CoreModels with one click. Extend, customize, and map it to your systems using visual editors — no code required.
Expose refined models via API and MCP to data pipelines, integration platforms, and AI agents. Turn knowledge discovery into knowledge execution.
From knowledge discovery to execution — Schematica bridges the gap between community-curated models and production-grade schema intelligence.
CoreModels empowers every stakeholder in your data ecosystem
Access authoritative schemas via API and MCP. Eliminate guesswork, reduce integration errors, and automate transformations with machine-readable definitions.
Give AI agents a structured, validated schema network to query at runtime. Prevent hallucinated field names, ensure correct data shapes, and enable autonomous pipeline adaptation.
Maintain a governed, versioned single source of truth for all data definitions. Enforce standards, track lineage, and ensure compliance across distributed systems.
Add, modify, and manage business definitions directly — no developer intervention required. Use visual editors and collaborative workflows to keep models aligned with business reality.
Leverage pre-built industry models from the Schematica Library. Customize healthcare, finance, logistics, and other domain schemas to match your organization's specific needs.
See how organizations use CoreModels to solve critical data challenges
Streamline mapping between FHIR resources, device schemas, and clinical data structures. Co-develop and refine models across teams, implement transformations quickly, and ensure compliance — freeing organizations to focus on patient care rather than data plumbing.
Whether connecting CRM and ERP systems or harmonizing product catalogs across regions, CoreModels provides typed mappings and semantic validation that accelerate integration projects and reduce errors by 70%. One schema graph replaces dozens of point-to-point scripts.
Expose a machine-readable schema network via MCP so AI agents can validate inputs, generate transformations, and adapt to changes autonomously. No more hallucinated field names or broken pipelines — agents query authoritative definitions at runtime.
When business requirements shift, evolve your models in hours instead of weeks. Visual editors, real-time collaboration, and automated validation let teams iterate quickly while governance rules prevent schema drift and breaking changes.
We have worked across multiple domains over years to develop and refine the Core Model schema virtualization and mapping methodology. Our modeling methodology has been implemented by forward-thinking enterprises:
















Transform your data architecture — from schema import to governed, AI-ready delivery.
Import schemas from databases, APIs, YAML configs, or the Schematica Library. Auto-discovery pulls in structural and semantic definitions.
Use visual editors to define entities, relationships, and constraints. Create typed mappings across systems and compare versions side by side.
Invite SMEs, developers, and AI agents to co-edit. Apply validation rules, track lineage, and maintain governed records of every change.
Deliver models via API and MCP to data pipelines, integration platforms, and AI services. Every consumer gets authoritative, up-to-date definitions.
Evolve models as requirements change. Versioned schemas, branching workflows, and automated validation ensure consistency as your ecosystem grows.
14-day free trial on all paid plans
Explore schema intelligence
Build AI-ready schemas
Deploy schema intelligence in production
Govern schema intelligence at scale
Free tier available forever. No signup required.
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Your data is always safe. If billing pauses, projects remain accessible in read-only mode.
By transforming buried structures into living, machine-readable assets, CoreModels turns static definitions into dynamic, executable intelligence. Define, evolve, and operationalize knowledge across pipelines, applications, and intelligent agents.
Part of the Schematica ecosystem, CoreModels bridges the gap between knowledge discovery and knowledge execution — giving every team, system, and AI agent a shared foundation of meaning.
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