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
40+ years combined experience in semantic data modeling across 3 countries
Building with
Every 3-5 years, enterprises spend millions migrating data to new schemas. It doesn't have to be this way.
Endless version proliferation
Every upgrade breaks integrations
$500K-$5M per migration project
Historical data becomes inaccessible
No semantic context for machine learning
CUID identifiers locked forever
Add new models without touching old data
Namespace coexistence by design
2025 data queryable in 2045
Built-in knowledge graphs & Graph RAG
Turn a PDF form into a Knowledge Graph in 30 seconds. No code required.
Most standards conflate how data is encoded with what it means. This fundamental architectural flaw creates complexity, semantic ambiguity, and tooling overhead.
(openEHR, FHIR, NIEM)
"It is impossible to process structure independently from semantics in conflated models."
Explicit Separation
A 2-stage pipeline validates structure first, then enriches with meaning.
Modeling a Blood Glucose value of "5.5 mmol/L" — a number without units is a hallucination waiting to happen.
Ambiguous. Units are free text, prone to typos. No semantic link.
Optional. Unit is not mandatory, allowing values to exist without units.
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.
Most standards are domain-locked. FHIR works in healthcare but fails in maritime. SDC4 is the only standard engineered for true universal interoperability.
Claims cross-domain, but has weak healthcare support (40%)
Healthcare-only
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.
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 BlueprintDesign freely within proven boundaries. The Reference Model ensures every component you use is semantically sound and globally interoperable.
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.
Stop hoping developers follow the rules. Our "Smart Socket" technology physically prevents bad data from entering your pipeline.
We didn't invent a new proprietary format. We engineered a precise assembly of the world's most trusted open standards.
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.
Graph RAG ready from day one
Governance built into the architecture
Language-agnostic by design
SDC4 serves three distinct audiences, each with unique pain points we solve.
Comply with grant data mandates instantly. Secure your legacy data for decades.
Language-agnostic patient records. Deploy AI in Brazil and Canada simultaneously.
Governance-as-Code. Prevent bad data from ever entering your pipeline.
Deploy AI-native data infrastructure today. Your enterprise data, ready for whatever comes next.
Schedule a DemoSoftware changes. Your data shouldn't have to. Our permanence architecture ensures data—and its semantic relationships—remain valid and queryable decades from now.
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.
2025 graphs queryable in 2040—guaranteed
When SDC5 launches, it gets a new namespace. Your SDC4 data keeps its original namespace. Both coexist indefinitely. Purely additive innovation.
No forced upgrades. No "rip and replace."
| 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
|
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.
We output a CUID-stamped Schema and an XML Instance Template. This is your Blueprint. It is not a suggestion; it is a constraint.
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.
See how permanence architecture can free your team to focus on innovation instead of maintenance
Schedule a DemoSee the CUID architecture in action • Explore namespace versioning
SDC4 embeds provenance, governance, and regulatory compliance directly into your data architecture—not as an afterthought, but as a foundational principle.
Permanent CUIDs enable machine-readable identification. RDF/SPARQL integration makes data discoverable across semantic networks.
Export to XSD, RDF/OWL, JSON, GraphQL, FHIR, and NIEM. Standards-based architecture ensures broad tool support.
W3C standards compliance (XML Schema, RDF, OWL, SHACL) enables integration with knowledge graphs and federated queries.
Immutable model components via CUIDs. Separation of structure and semantics enables decades-long data reusability.
PHI protection via granular access control tags, field-level encryption capabilities, comprehensive audit trails, and attestation mechanisms.
Personal data categorization, consent management tags, temporal metadata for "right to erasure," and complete data lineage for accountability.
Electronic records compliance through comprehensive audit trails, digital signatures, and version control built into every data model.
Security control integration via access control mechanisms, audit capabilities, and data integrity verification.
Security, availability, and confidentiality controls embedded in the data architecture with standards-aligned implementation.
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.
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.
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).
5.5 perfectly, but lose the context that tells you if it's mmol/L or mg/dL.
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
Founder & CEO
MSc. Health Informatics | BSc. Engineering Technology
US Marine Corps (retired Master Sergeant, 20+ years) - Communications Engineering and Information Warfare
Full-time CEO, leads product development, architecture, and standards engagement. Primary contact for partnerships and business development.
"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."
Co-Founder & Chief Medical Officer
Medical degree (1994) | Master's in Public Health (1999) | PhD in Collective Health (2005) | Post-doctorate from Karolinska Institutet, Sweden (2008)
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).
"I saw clinicians struggling with English-only tools. I built SDC4 so a doctor in Rio can query global medical data in Portuguese."
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.
Health services research | Disability studies | Medical ethics | Health informatics
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.
"Research data is useless if it dies in a spreadsheet. I built SDC4 to ensure scientific knowledge outlives the grant cycle."
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.
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.
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 AvailableWe believe the foundation of data trust should be open, accessible, and community-driven.
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.
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.
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.
No coding required. No technical expertise needed. These tools let you create professional data models and knowledge graphs using your domain knowledge.
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.
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.
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.
Free Forever. The SDC4 reference model and our validation libraries are open source and will always be freely available to the community.
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:
Our flagship SaaS platform for creating, managing, and deploying SDC4-compliant data models.
From CSV or Markdown to deployed semantic application in minutes, not months
Interested in partnering with us, contributing to our open source projects, or learning more about SDC Studio? We'd love to hear from you.