Stop Prompting. Start Engineering.

The Blueprint-Driven Architecture for Agentic AI.

AI Agents are incredible builders, but dangerous architects. Without clear instructions, they hallucinate data structures and create technical debt. Axius SDC generates Immutable Blueprints—rigid, permanent data models—that constrain your AI Agents. We provide the mathematical guardrails to turn "Vibe Coding" into Enterprise Engineering.

Architected by veterans from

W3C Standards Contributor
ISO Standards Development
NOSM University Canada
Karolinska Institutet Sweden
Fluminense Federal Brazil

40+ years combined experience in semantic data modeling across 3 countries

Building with

Google for Startups Cloud Program

Why Do We Keep Rebuilding the Same Databases?

Every 3-5 years, enterprises spend millions migrating data to new schemas. It doesn't have to be this way.

The Old Way

  • ×
    schema_v1, schema_v2, schema_v3...

    Endless version proliferation

  • ×
    Broken pipelines

    Every upgrade breaks integrations

  • ×
    Expensive ETL

    $500K-$5M per migration project

  • ×
    "Data archaeology"

    Historical data becomes inaccessible

  • ×
    AI can't understand it

    No semantic context for machine learning

The SDC4 Way

  • One permanent ID per component

    CUID identifiers locked forever

  • Evolving models, not breaking changes

    Add new models without touching old data

  • Zero migrations

    Namespace coexistence by design

  • Instant historical access

    2025 data queryable in 2045

  • AI-ready from day one

    Built-in knowledge graphs & Graph RAG

Try the Semantic Engine for Free

Turn a PDF form into a Knowledge Graph in 30 seconds. No code required.

The "Original Sin" of Data Standards

Most standards conflate how data is encoded with what it means. This fundamental architectural flaw creates complexity, semantic ambiguity, and tooling overhead.

Structure + Semantics + Rules
(Tangled)

The Conflated Approach

(openEHR, FHIR, NIEM)

"It is impossible to process structure independently from semantics in conflated models."

Structure (HOW)
Semantics (WHAT)

The SDC4 Principle

Explicit Separation

A 2-stage pipeline validates structure first, then enriches with meaning.

Why a "Number" Is Not Enough

Modeling a Blood Glucose value of "5.5 mmol/L" — a number without units is a hallucination waiting to happen.

NIEM

<nc:MeasureValue>
5.5
</nc:MeasureValue>
<nc:MeasureUnitText>
mmol/L
</nc:MeasureUnitText>

Ambiguous. Units are free text, prone to typos. No semantic link.

FHIR

{"valueQuantity": {
"value": 5.5,
"unit": "mmol/L",
"system": "..."
}}

Optional. Unit is not mandatory, allowing values to exist without units.

SDC4

<BloodGlucose>
<value>5.5</value>
<units>mmol/L</units>
</BloodGlucose>

Enforced. Units is a mandatory foreign key to a controlled, semantic-rich Units model.

SDC4 enforces "physics" on your data — so your AI never guesses.

The Cross-Domain Reality Check

Most standards are domain-locked. FHIR works in healthcare but fails in maritime. SDC4 is the only standard engineered for true universal interoperability.

Cross-Domain Fitness Score

SDC4 95%
NIEM 83%

Claims cross-domain, but has weak healthcare support (40%)

FHIR 43%

Healthcare-only

openEHR 25%

Healthcare-only, 0% in Justice/Maritime

Based on use case validation across Justice, Healthcare, Immigration, and Maritime domains
(Ubiquitous Semantic Interoperability White Paper, Table 7.5)

SDC4 is the only standard with consistent high performance across all tested domains.

The Permanence Architecture

SDC4 provides the immutable Reference Model—a foundation of semantically-linked components backed by OWL ontologies. You build domain models on top. Every model automatically generates knowledge graphs.

Explore The Data Blueprint

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

Who Is This For?

SDC4 serves three distinct audiences, each with unique pain points we solve.

For Research PIs

Comply with grant data mandates instantly. Secure your legacy data for decades.

  • Meet NIH/NSF data sharing requirements
  • Create reusable data collection templates
  • No coding required
Try SDCObsidianTemplate →

For Health Systems

Language-agnostic patient records. Deploy AI in Brazil and Canada simultaneously.

  • FHIR, SUS, and HL7 compatible
  • Multilingual by design
  • Graph RAG for clinical AI
Schedule a Demo →

For Enterprise Architects

Governance-as-Code. Prevent bad data from ever entering your pipeline.

  • NIEM 6.0 compliance built-in
  • Zero-migration architecture
  • 16+ international standards
Read Documentation →

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: Blueprint-Driven Engineering

  1. 1
    Define the Logic

    Don't write code. Describe your business logic in plain English using SDC Studio. We capture your intent and map it to global semantic standards.

  2. 2
    Generate the Blueprint

    We output a CUID-stamped Schema and an XML Instance Template. This is your Blueprint. It is not a suggestion; it is a constraint.

  3. 3
    Direct the Agent

    Hand the Blueprint to your AI Agent (Cursor, Windsurf, Devin). It writes the pipelines and APIs with 100% deterministic accuracy because it follows your rules.

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

Compliance-Ready by Design

SDC4 embeds provenance, governance, and regulatory compliance directly into your data architecture—not as an afterthought, but as a foundational principle.

FAIR Data Principles

F

Findable

Permanent CUIDs enable machine-readable identification. RDF/SPARQL integration makes data discoverable across semantic networks.

A

Accessible

Export to XSD, RDF/OWL, JSON, GraphQL, FHIR, and NIEM. Standards-based architecture ensures broad tool support.

I

Interoperable

W3C standards compliance (XML Schema, RDF, OWL, SHACL) enables integration with knowledge graphs and federated queries.

R

Reusable

Immutable model components via CUIDs. Separation of structure and semantics enables decades-long data reusability.

Complete Provenance

  • Instance-level tracking: Creation timestamp, version, provider, subject
  • Bitemporal support: Track both transaction time and valid time
  • Geographic context: Latitude/longitude metadata (WGS 84)
  • Audit trails: System ID, user, location, and timestamp for every interaction
  • Attestation: Formal mechanisms for parties to attest to data content

Fine-Grained Governance

  • Field-level access control: ACT tags on every data element
  • Data classification: PHI, PII, PCI-DSS, CUI, and more
  • Consent management: Tag and track consent per data category
  • Data quality: 15+ explicit null flavors (ISO 21090) instead of silent data loss
  • Framework integration: XACML, OAuth 2.0, NIST RBAC ready

Built for Regulatory Compliance

HIPAA

PHI protection via granular access control tags, field-level encryption capabilities, comprehensive audit trails, and attestation mechanisms.

GDPR

Personal data categorization, consent management tags, temporal metadata for "right to erasure," and complete data lineage for accountability.

21 CFR Part 11

Electronic records compliance through comprehensive audit trails, digital signatures, and version control built into every data model.

NIST 800-53

Security control integration via access control mechanisms, audit capabilities, and data integrity verification.

SOC 2 / ISO 27001

Security, availability, and confidentiality controls embedded in the data architecture with standards-aligned implementation.

CCPA / PIPEDA

Privacy-by-design through data sensitivity declarations, consent tracking, and transparent data handling practices.

SDC4's governance features integrate seamlessly with your existing compliance frameworks—no retrofitting required.

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.

A Letter from the Founders

Why we spent 25 years fixing the "Original Sin" of data.

We didn't start Axius SDC to build a startup. We started it because we were tired.

We were tired of watching multi-million dollar data migrations fail. We were tired of "data archaeology"—digging through 10-year-old databases trying to figure out what a column named val_2 actually meant.

Most of all, we were tired of the industry accepting this chaos as normal.

For 25 years, the tech world has committed what we call "The Original Sin" of Data Standards. We focused entirely on Structure (XML, JSON) and forgot about Meaning (Semantics).

  • × We built pipelines that transfer numbers like 5.5 perfectly, but lose the context that tells you if it's mmol/L or mg/dL.
  • × In healthcare, that ambiguity isn't a bug—it's a patient safety risk.
  • × In research, it's a waste of grant money.
  • × In enterprise, it's a $1.5M migration project every five years.

We built SDC4 because we refused to accept that data has an expiration date.

Our team is unique in the SaaS world. We aren't fresh graduates looking for a quick exit. We are a retired US Marine Master Sergeant, a Brazilian Public Health Physician, and a Canadian Research Professor.

We spent 15+ years in R&D. We generated 2,200+ commits. We published 12+ peer-reviewed papers. We didn't write a line of commercial code until we were certain we had solved the underlying physics of the problem.

This is the Permanence Architecture. The promise that the data you create today will still be valid, queryable, and understood by AI in 2045.

We invite you to stop renting your data architecture from vendors who profit from your migrations. Start building on a foundation that lasts.

— Tim, Luciana, & Nikki
Founders, Axius SDC

"Our experience may be a matter of perception. But, the world we perceive is the context we must work within."

— Timothy W. Cook, Founder & CEO

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.

The Motivation

"After 20 years in military comms, I learned that if the message isn't clear, the mission fails. I built SDC4 so the message never degrades."

Dr. Luciana Tricai Cavalini

Dr. Luciana Tricai Cavalini, PhD

Co-Founder & Chief Medical Officer

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).

The Motivation

"I saw clinicians struggling with English-only tools. I built SDC4 so a doctor in Rio can query global medical data in Portuguese."

Dr. Nikki Shaw

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

Co-Founder & Chief Research Officer

Health informatics specialist and the first research chair in health informatics in Western Canada. Originally from England, Nikki is deaf and uses a service dog. She is very open to collaboration and partnerships.

Academic & Leadership Roles

  • Full professor of biology (health sciences), Algoma University
  • Speaker of the Senate, Algoma University
  • Senate representative, Governor, Board of Governors, Algoma University
  • NOSM University tutor
  • Member, International Joint Commission's Health Professionals Advisory Board

Research Expertise

Health services research | Disability studies | Medical 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.

The Motivation

"Research data is useless if it dies in a spreadsheet. I built SDC4 to ensure scientific knowledge outlives the grant cycle."

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.

Coming Soon: Case Studies

We're documenting real-world implementations across healthcare, government, and research. Be among the first to see how organizations are using SDC4 to eliminate data migrations.

Get Notified When Available

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.

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.

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.

Getting Started - Tools for Domain Experts

No coding required. No technical expertise needed. These tools let you create professional data models and knowledge graphs using your domain knowledge.

Form2SDCTemplate

Vibe Coding for Data Models

Formal model + AI prompt = Production-quality app

Describe your data collection form in plain language to ChatGPT, Claude, or any AI assistant. Receive a complete, standards-compliant data model ready for SDC Studio — no XML expertise required.

What You Get:
  • Conversational creation — Just talk to AI about your forms
  • Multilingual support — Works in any language
  • From minutes to seconds — What took hours now happens instantly
  • Professional templates — Standards-compliant, ready for production
Get Started with Form2SDCTemplate

SDCObsidianTemplate

Knowledge Graph in Your Notes App

Perfect for: Researchers, Data Architects, Healthcare Teams

Use the popular Obsidian note-taking app to create professional data models. Fill in forms, not code — then upload to SDC Studio for instant conversion to knowledge graphs, schemas, and APIs.

What You Get:
  • Form-based interface — No XML, JSON, or technical syntax
  • Reuse standards — Connect to FHIR, NIEM, HL7, openEHR
  • Beautiful theme — Professional SDCStudio styling built-in
  • Complete privacy — All work stays on your computer
Get Started with SDCObsidianTemplate

SDCStudio Examples

Learn from Real-World Models

Perfect for: Learning SDCStudio, Exploring Standards

Browse complete, working examples across NIEM 6.0 and NIH-CDE standards. See source templates, generated outputs, and enterprise application packages — ready to explore or adapt.

What You Get:
  • Source templates — Markdown templates for NIEM and NIH-CDE
  • Generated outputs — XSD, XML, JSON, JSON-LD, RDF, SHACL, GQL
  • Enterprise apps — Complete application packages
  • Domain coverage — Justice, Immigration, Maritime, Healthcare
Explore SDCStudio Examples

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

SDC4 delivers:

  • Interoperability with meaning across domains
  • Simplified APIs
  • Purpose built models by your domain experts
  • Shared with your trading partners

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, SUS, and any other standard
  • ✓ Generate production-ready models, examples, and documentation
  • ✓ Generate model based applications, ready for your customization
  • ✓ Run locally or on your favorite cloud platform
Public Beta — Q1 2026 Start Building Now!

See the Processing Pipeline in Action

From CSV or Markdown to deployed semantic application in minutes, not months

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.