Build with Precision. Scale with Confidence.

The enterprise data platform that combines creative flexibility with the rigid safety of a circuit board. Design once, deploy globally, and never migrate again.

See the Architecture Start Building

The "100-in-1" Architecture for Enterprise Data

Most systems force you to invent your own components from scratch. We give you the pre-wired board with built-in semantics—you just draw the connections. Every model automatically generates knowledge graphs.

100-in-1 Electronic Project Kit - The SDC Architecture Metaphor

SDC4 works like the 100-in-1 kits engineers grew up with

1

The Board (Reference Model)

Axius provides the immutable Reference Model—a "Universal Circuit Board" of semantically-linked components backed by OWL ontologies. The universe of components is fixed, proven, and machine-readable.

2

The Wiring Diagrams (Data Models)

You provide the Data Models—the "Wiring Diagrams" that define your specific business logic. Each diagram carves a specific function out of the general possibility space.

3

Working Circuits (Graph-Ready Data)

Follow the diagram precisely, the circuit works. Your data is automatically valid, semantically rich, and ready for knowledge graph queries and Graph RAG applications.

Creativity within Constraints

Design freely within proven boundaries. The Reference Model ensures every component you use is semantically sound and globally interoperable.

The Digital Stencil

Use precision stencils to restrict the universal model to exactly what you need. Semantic links ensure a "Patient Record" in Brazil connects perfectly with a "Lab Result" in Canada—because they share the same ontological DNA.

Governance-as-Code

Stop hoping developers follow the rules. Our "Smart Socket" technology physically prevents bad data from entering your pipeline.

Built on a Foundation of Giants

We didn't invent a new proprietary format. We engineered a precise assembly of the world's most trusted open standards.

XML Schema + RDF + OWL SPARQL Ready W3C Compliant 16+ International Standards

Type Safety for the AI Era

Your AI is only as good as the data it feeds on. SDC gives your data "physics"—context, not just content. Knowledge graphs and Graph RAG enabled by default.

Knowledge Graphs by Default

  • Auto-generate RDF graphs from every record
  • Query with SPARQL out of the box
  • No manual tagging or graph construction

Graph RAG ready from day one

The Smart Socket

  • Enforce valid AI models at the schema level
  • Define allowed models once, enforce everywhere
  • Physically prevent incompatible data

Governance built into the architecture

Global Interoperability

  • Design in any language—deploy globally
  • Machine-readable logic stays identical
  • Brazil to Canada, same semantic DNA

Language-agnostic by design

AI-Ready in Practice

Healthcare AI

Graph RAG traverses patient knowledge graphs with embedded semantics—clinical AI understands your data without custom training

Supply Chain AI

Knowledge graphs link products, suppliers, and logistics—AI queries semantic relationships across your entire supply network

Financial AI

Semantic graphs connect transactions, entities, and regulations—compliance AI traces relationships with SPARQL precision

Ready for the AI Future?

Deploy AI-native data infrastructure today. Your enterprise data, ready for whatever comes next.

Schedule a Demo

The Forever Data Promise

Software changes. Your data shouldn't have to. Our permanence architecture ensures data—and its semantic relationships—remain valid and queryable decades from now.

Immutable by Design

Permanent Components

Every data element gets a permanent CUID identifier with embedded OWL semantics. Once defined, that structure and its ontological meaning are locked—creating a semantic foundation you can build on forever.

  • Models are immutable and backward-compatible
  • Create new models without touching old data
  • Data and knowledge graphs validate forever

2025 graphs queryable in 2040—guaranteed

Non-Destructive Evolution

When SDC5 launches, it gets a new namespace. Your SDC4 data keeps its original namespace. Both coexist indefinitely. Purely additive innovation.

  • Run multiple SDC versions in parallel
  • Reuse existing components in new models
  • Upgrade on YOUR timeline

No forced upgrades. No "rip and replace."

Investment Freed for Innovation

Total Savings with SDC
$7.5M
over 20 years
Equivalent FTE Investment
50
FTEs freed to focus on innovation

The Permanence Advantage

Scenario Traditional Approach SDC Approach
Vendor releases v2.0
❌ Forced migration project
6-18 months, $500K-$5M
✅ No migration required
Namespace coexistence
Need new data fields
❌ Migrate all existing data
ETL + re-testing
✅ Create new models
Old data + old models stay valid
After 20 years
❌ 4-6 migrations
$5M-$25M spent
✅ Minimal migrations
Reduced migration burden
Historical data access
⚠️ Requires data archeology
Format conversion
✅ Instant access
Original format still valid

How It Works (The Simple Version)

  1. 1
    Permanent IDs: Every component gets a CUID like mc-clj5x1g8f000008l09j7f6c3d
  2. 2
    Fixed Structure: That ID's structure is locked forever in the schema
  3. 3
    Namespace Versions: SDC4 uses .../sdc4/, SDC5 uses .../sdc5/
  4. 4
    Result: Your 2025 SDC4 data is designed to validate against its SDC4 models in the future through our permanence architecture

Build for the Long Term

See how permanence architecture can free your team to focus on innovation instead of maintenance

Schedule a Demo

See the CUID architecture in action • Explore namespace versioning

International Team, Global Expertise

Axius SDC is led by an international team of semantic data experts with complementary expertise across three countries: 40+ years combined experience in semantic data modeling and health informatics.

3
Countries
4
Languages
40+
Years Experience
450M+
Healthcare Markets
Timothy W. Cook

Timothy W. Cook

Founder & CEO

Academic Credentials

MSc. Health Informatics | BSc. Engineering Technology

Industry Experience

  • 25+ years developing semantic interoperability frameworks
  • Created Multi-Level Health Information Model (MLHIM)
  • Collaborator with W3C, ISO, IHTSDO, and ONCHIT on semantic data standards
  • Published peer-reviewed work on semantic interoperability and knowledge management

Military Service

US Marine Corps (retired Master Sergeant, 20+ years) - Communications Engineering and Information Warfare

Role at Axius SDC

Full-time CEO, leads product development, architecture, and standards engagement. Primary contact for partnerships and business development.

LinkedIn Profile Full CV Personal Website
Dr. Luciana Tricai Cavalini

Dr. Luciana Tricai Cavalini, PhD

Co-Founder & Partner

Academic & Clinical Roles

  • Associate Professor, Fluminense Federal University (Niterói, Brazil)
  • Family Health Physician, SUS (Ilhota, SC, Brazil)
  • Clinician at Child and Teenager's CAPS, SUS (Itajaí, SC, Brazil)

Educational Background

Medical degree (1994) | Master's in Public Health (1999) | PhD in Collective Health (2005) | Post-doctorate from Karolinska Institutet, Sweden (2008)

17-Year Collaboration with Tim

  • First met at OSHCA conference, Kuala Lumpur, Malaysia (2008)
  • KEY contributor to Multi-Level Health Information Model (MLHIM) development
  • KEY contributor to generalization of MLHIM to S3Model framework
  • Co-authored multiple publications on MLHIM and S3Model

Strategic Value for SDC4

Brazilian SUS Domain Expert with Active Clinical Practice: Direct, real-world knowledge of Sistema Único de Saúde (Brazil's public health system serving 200M+ citizens). Validates language-agnostic approach for Portuguese-speaking markets and Latin American expansion (650M+ population).

LinkedIn Profile CV (Português) CV (English)
Dr. Nikki Shaw

Dr. Nikki Shaw, BSc(Hons), PhD, FBCS

Co-Founder & Partner

Academic & Leadership Roles

  • Full professor of biology (health sciences, Algoma University)
  • Full Professor, Human Sciences Division, NOSM University (Stipendiary faculty)
  • Speaker of the Senate, Algoma University
  • Senate representative, Governor, Board of Governors, Algoma University

Research Expertise

Health services research | Disability studies | Medical professionalism and ethics | Health informatics

25-Year Collaboration with Tim

  • First met at AMIA Conference 2000 (invited workshop on open source in healthcare)
  • Co-authored peer-reviewed publication: "Open source and international health informatics: Placebo or panacea?"
  • International advisor for FreePM (Tim's open source healthcare project)
  • Co-founded PATH Group (health informatics research collaborative in Canada)

Strategic Value for SDC4

Canadian Healthcare Systems Expert: 20 years experience across BC, Alberta, Ontario. Brings critical insight for language-agnostic data models in bilingual (English/French) environments and accessibility considerations.

LinkedIn Profile Full CV About Dr. Shaw

Why This Team Matters

International Perspective = Global Market Opportunity

Our team spans US (enterprise), Canada (bilingual systems), and Brazil (Latin America). This validates SDC4's language agnosticism—our primary differentiator for unlocking 75% of world's non-English markets.

Proven Collaboration History

Not a "team on paper" – decades of professional collaboration: 25-year partnership (Tim + Nikki), 17-year partnership (Tim + Luciana), joint publications, and real-world healthcare implementations.

"Make everything as simple as possible, but no simpler."

— Albert Einstein

This principle guides everything we do. Data standards should be simple enough for domain experts to use, yet rigorous enough for AI systems to trust.

Our Open Source Contributions

We believe the foundation of data trust should be open, accessible, and community-driven.

SDC4 Reference Model

Open Standard Specification

The Semantic Data Charter 4.0 (SDC4) is our open source reference model that defines how data should be structured, validated, and enriched with semantic meaning. Built on 16+ international standards including W3C RDF, OWL, SHACL, and ISO 21090.

View on GitHub View Specifications

sdcvalidator

Python Validation Library

A production-ready Python library for validating XML data against SDC4-compliant schemas. Supports ExceptionValue patterns for justified constraint violations, enhanced error messages, and complete SDC4 validation beyond standard XML Schema.

View on PyPI Source Code
IN DEVELOPMENT

sdcvalidatorJS

TypeScript/Node.js Library

TypeScript/Node.js implementation of SDC4 validation with ExceptionalValue recovery. Features pattern-based error classification, CLI tool (sdcvalidate), and full TypeScript support. Currently achieving 90.4% test coverage with 182 tests.

View on npm Source Code

Free Forever. The SDC4 reference model and our validation libraries are open source and will always be freely available to the community.

Commercial Products

While our standards and validation tools are open source, we also build commercial products that make SDC4 easy to adopt and scale.

SDC Studio

Our flagship SaaS platform for creating, managing, and deploying SDC4-compliant data models.

Key Features:

  • ✓ AI-powered data ingestion from CSV and Markdown templates
  • ✓ Intelligent type detection and semantic enrichment
  • ✓ Form-based modeling - no XML or coding knowledge required
  • ✓ Content compliant with NIEM, FHIR, and standard ontologies (SNOMED, LOINC)
  • ✓ Built for Google Cloud with BigQuery and Vertex AI integration
  • ✓ Generate production-ready schemas and examples: XSD, XML, JSON, JSON-LD, GQL, RDF, and documentation
Public Beta — Q1 2026

Let's Talk

Interested in partnering with us, contributing to our open source projects, or learning more about SDC Studio? We'd love to hear from you.

contact@axius-sdc.com
GitHub SDC Website