Two audiences, one credential
The curriculum, exam, and credential are the same whether you serve external clients or your own organization.
Independent Consultants
Solo practitioners and small consulting firms (1-5 people) who serve SMB clients in a specific sector - healthcare, legal, financial services, manufacturing, non-profits - and want a structured way to deliver semantic data infrastructure outcomes and build a recurring revenue practice.
Corporate IT Staff & Data Architects
Data architects, engineering leads, and IT managers inside organizations who use the framework to assess and improve their own data estate. The credential is "Practitioner," not "Consultant" - no client-facing implication, no HR friction. Same toolkit, same diagnostic, applied internally.
The problem you can see but can't sell
You already know that data infrastructure is the bottleneck for every organization you work with. But "your data architecture is fragile" is not a pitch your clients will buy.
The external problem
A client deploys an AI agent. It hallucinates because the data underneath has no structure, no provenance, no governance. The agent sends the wrong email, invents a feature, makes a decision nobody can trace. The client blames the AI. You know the real problem is the data.
Your internal problem
You keep billing hours for custom integration work that starts from scratch every time. You watch the same problems recur at the next client. You know the fix, but you don't have a framework that makes it sellable at SMB price points - a structured diagnostic, a repeatable delivery model, and a deliverable that doesn't require rebuilding everything.
In the age of AI agents, this isn't optional anymore.
78% of organizations have AI agents in production. The EU AI Act enforcement deadline is August 2, 2026. Your clients' CTOs are being asked for structural governance - governance bound to the data, not managed in a dashboard. Nobody in your competitive set can deliver it. Yet.
We built the framework. You deliver it.
Axius SDC spent 25 years engineering deterministic semantic data infrastructure for the moment machines became the primary consumers of structured data. The demand exists now. We can't deploy it to every SMB in the world. You can.
We have watched the same data failures you have - in healthcare where the consequences are measured in lives. We know what it feels like to see a problem clearly that nobody is paying you to fix.
25 years of engineering. 12+ peer-reviewed publications. 165+ citations. 17+ international standards (W3C, ISO, IETF). Deployed across healthcare, defense, government, and enterprise. The framework is not theoretical. It is in production.
The plan: three steps
A structured path from diagnostic to recurring revenue.
Diagnose
The SDC Maturity Map: a six-dimension diagnostic that scores your client's data infrastructure against an open standard. 90 minutes. One radar chart. A one-page report. You sell this as a standalone $2,500-$5,000 engagement.
Build
Deploy bespoke applications on the client's own infrastructure. Every model generates a context graph with structural governance - workflow, attestation, provenance, and decision traces built in. The client owns everything.
Steward
Data doesn't stand still. Every change is a billable touch - 30 min to 4 hours, $1,500-$3,000, mostly remote. No forced migrations. No forced upgrades. Recurring revenue that compounds.
What happens if this isn't solved
Your clients deploy AI agents on ungoverned data. The agents hallucinate. The hallucinations get saved to persistent memory. The system teaches itself fabricated facts. Nobody notices for weeks because the failure is silent.
A regulatory audit finds no provenance trail. The EU AI Act requires evidence at the millisecond of inference. The client's dashboard-based governance cannot produce it.
Meanwhile, your competitor who learned to deploy structural governance is building a component library in your vertical that you cannot replicate without doing the same 12 months of work.
What success looks like
No forced upgrades, ever.
The application only changes when the client asks for a change, on their timeline. SaaS vendors upgrade on their schedule - your client controls theirs.
No data migrations, ever.
New schemas evolve in place. Data never moves. Every SaaS migration loses something. Your client's data stays on their infrastructure from day one.
Who this is for
- • Independent consultants and small firms (1-5 people) serving SMBs in a specific sector
- • Knowledge graph and context graph consultants wanting a deterministic alternative with governance, provenance, and decision traces
- • Ontology engineers, FHIR practitioners, and master data consultants looking for a sustainable solo business model
- • Internal data architects who want the same credential and toolkit
- • Former corporate data engineers considering independent practice
- • Generalists who want to serve every sector (compounding requires vertical focus)
- • Pure-play data engineers without client relationships
- • Vendors of competing data quality products
- • Anyone looking for a credential without a practice
- • Anyone expecting predictable monthly revenue from day one
What you get
How it works
No application form. No committee review. The curriculum is free forever. You are never paying for knowledge - only for the credential.
Free, always
Read the framework. Read the curriculum. Use the framework with your existing clients however you see fit. No signup, no obligation, no certification. Apache 2.0.
The credential + business model
- 1. Browse - Read the economics, the framework, and the curriculum. Free.
- 2. Register - Create your SDCStudio account, fund your wallet ($10 min - stays yours).
- 3. Study - Click "Practitioners" in your menu. 9 modules, self-paced.
- 4. Certify - Pass the exam. Get certification, $100 credit, directory listing.
Certification pricing
| Item | Cost |
|---|---|
| Curriculum, framework, all materials | Free, always (Apache 2.0) |
| SDCStudio wallet (your funds) | $10 minimum |
| Certification exam - May 2026 (launch month) | Free |
| Certification exam - Jun-Jul 2026 (summer partnership) | $250 |
| Certification exam - Aug 2026+ (general availability) | $500 |
| Wallet credit on certification | +$100 |
| Your time | ~14-16 hours study + 90 min exam |
No revenue share. No exclusivity. No commission structure. Axius SDC makes money on the infrastructure that powers your deployments. You make money on your engagements.
Foundation Documents
Practitioner Economics
The two compounding axes, the worked 3-year example, and why the fifth client costs almost nothing to deliver.
SDC for Graph Practitioners
Building knowledge graphs or context graphs by LLM extraction? SDC generates context graphs automatically with structural governance - decision traces, provenance, and attestation built in.
SDC Maturity Framework
Six dimensions of semantic data readiness, scored 1-5. The diagnostic instrument you use with clients. The floor constraint principle explained.
Program Overview
The two-tier structure (Aware to Certified), what certified practitioners get, what the program costs, and how to begin.
Curriculum
Nine self-paced modules. Approximately 14-16 hours of study. Open source, free forever.
1. Semantic Data Fundamentals
Floor constraint, two-level modeling, minimum knowledge modeling, context graphs, where SDC fits.
2. SDCStudio: Your First Model
Account setup, uploading data, AI processing pipeline, reviewing models, generating outputs.
3. Components, Clusters & Publishing
SDC type hierarchy, Component Wizard, semantic linking, versioning, context graph generation.
4. The Six Dimensions
Definitions, level criteria, the floor constraint principle, reading the radar chart.
5. Conducting an Assessment
Engagement shape, interview question banks, artifact review.
6. Scoring & Presentation
Rubric, biases, executive summary, presenting to mixed audiences.
7. Prescribing Interventions
Intervention catalog, sequencing, the per-touch stewardship model, context graph deliverable.
8. Deployment
SDCforSMB setup, Docker deployment, client handoff, infrastructure requirements.
9. Building a Proposal
Proposal structure, milestones, success metrics, client-facing vocabulary, the per-touch product.
About Axius SDC
Axius SDC, Inc. is the steward of the Semantic Data Charter and the SDC ecosystem. We serve organizations at every scale: enterprise customers deploy SDCStudio Sovereign on their own infrastructure, businesses with internal IT teams build directly on SDCStudio, and independent practitioners deploy SDC-powered outcomes for SMB clients who lack in-house data architecture expertise. The Practitioner program is how SDC reaches the long tail of organizations that will never have a data architect on staff.
The relationship is positive-sum by design: the more practitioners deploy, the more SDCStudio component mints we serve, the better the catalog gets, the easier the next practitioner's first engagement becomes.
There is no revenue share, no exclusivity, no commission structure. The framework, the curriculum, the templates, and the open-source software are all Apache 2.0. If you stop working with us tomorrow, you keep your component library, your client relationships, your applications, and your credential.