Semantic Data Infrastructure for Trustworthy AI

Design data models in any language. Maintain global interoperability. Enable AI without rework.

Our Mission Explore SDC4

Who We Are

Axius SDC develops the Semantic Data Charter (SDC4), an open specification and tooling platform that enables enterprises to create self-describing, semantically rich data models that work seamlessly across systems, domains, and languages.

We're addressing data integration challenges that cost enterprises hundreds of billions annually by making data models that are simple, trustworthy, and AI-ready by default—not as an afterthought.

Self-Describing

Schemas include embedded semantics, universal business vocabulary links, and machine-readable governance metadata

Language-Agnostic

Design models in any human language (Portuguese, French, Japanese, etc.) while maintaining global interoperability

AI-Ready

Auto-generate knowledge graphs from existing data, enabling RAG-powered applications without manual tagging

The Problem

Data integration represents a significant enterprise cost. According to industry research, organizations spend substantial resources on ETL processes and data quality issues because traditional data models focus on structure while leaving meaning implicit.

The result: Data engineering teams spend substantial time on repetitive schema mapping instead of delivering business value.

Our Solution

SDC4 provides a framework built on 16+ proven international standards (W3C, ISO, IETF) including XML Schema, RDF, OWL, and SPARQL, ensuring broad tool support and future compatibility.

Our approach: Designed to significantly reduce ETL complexity through standards-based architecture. Efficiency gains will vary based on your current data architecture and implementation context.

Data That Travels with Its Own Passport

Enable trusted data exchange across organizational boundaries without vendor lock-in or standards committee delays

Reduce Integration Costs

  • No custom ETL for each partner
  • Recipients validate automatically
  • Reduce integration time from months to days

75% reduction in integration costs

De-Risk Data Exchange

  • Self-validating data prevents costly errors
  • Embedded semantics reduce misinterpretation
  • Full audit trail of data lineage

GDPR & HIPAA-ready compliance

Maintain Strategic Autonomy

  • Define models on YOUR timeline
  • Not locked into vendor formats
  • Not waiting for standards committees

Bottom-up OR top-down policy

Real-World Impact

Healthcare Network

Hospital network shares patient data with external labs—recipients automatically validate critical values, reducing medical errors and liability

Supply Chain

Manufacturer shares product specs with 50+ distributors—each validates quality requirements without custom integration

Financial Services

Banks exchange transaction data with regulators—built-in compliance validation, automatic audit trails

The SDC Advantage

Unlike proprietary EDI or vendor-locked formats, SDC models give YOU control

Stop waiting years for standards bodies—deploy interoperability on your schedule

Schedule a Demo

Designed to Minimize Migration Burdens

Reduce the recurring challenges of data migration through standards-based permanence architecture

The Traditional Migration Trap

  • ▸ Vendor releases v2.0 → forced 6-18 month migration project
  • ▸ $500K-$5M consulting fees per migration
  • ▸ Business disruption, downtime risk, data loss exposure
  • ▸ Repeat every 3-5 years

Over 20 years: $5M-$25M+ in migration costs

The SDC Solution: Dual-Layer Protection

🔒

Layer 1: Immutable Components

Every data element gets a permanent CUID identifier (mc-clj5x1g8f...). The structure associated with this ID is designed to be immutable and persistent through our permanence architecture.

  • ✅ Models are designed to be immutable and backward-compatible
  • ✅ Create new models without touching old data
  • ✅ Old data validates against its original models forever

Your SDC4 data from 2025 validates against SDC4 models in 2035—no migration needed

🌐

Layer 2: Namespace Versioning

When SDC5 launches, it gets a new namespace (.../sdc5). Your SDC4 data keeps its original namespace (.../sdc4). Both coexist indefinitely.

  • ✅ No forced upgrade to SDC5
  • ✅ Run SDC4 and SDC5 in parallel
  • ✅ Copy/reuse SDC4 components in SDC5 models (via SDCStudio)
  • ✅ Migrate on YOUR timeline with minimal disruption

Deploy SDC4 today, designed to run alongside future versions with reduced migration burden

Calculate Your Savings

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

Traditional vs. SDC Approach

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

Stop the Migration Madness

Calculate how much your organization could save over the next 10-20 years

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 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 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