Your clients' data isn't ready for AI agents. You know it. They don't.

You have the expertise to see the problem. You don't have a structured way to diagnose it, price it, fix it, and get paid for it on a recurring basis. That is what this program gives you.

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. 20+ peer-reviewed publications. 165+ citations. 20+ international standards (W3C, OASIS, OMG, ISO, IETF, IANA). 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, standards-based reference model. 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. 1. Browse - Read the economics, the framework, and the curriculum. Free.
2. 2. Register - One step: create your account and fund your wallet with $10, which lands as 10,000 credits. The credits are yours to spend and fund your first component mints.
3. 3. Study - Click "Practitioners" in your menu. 9 modules, self-paced.
4. 4. Certify - Pass the exam. Get certification, 100,000 credits, directory listing.

Certification pricing

Ready to certify?

The exam fee is $500. Review the format and retake policy, then pay securely when you are ready.

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

Curriculum

Nine self-paced modules. Approximately 14-16 hours of study. Open source, free forever.

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.

Three ways to start

Questions? contact@axius-sdc.com or Tim Cook on LinkedIn