We did not predict LLMs or agent frameworks. We predicted the activity they revealed — fully automated machine processing of all data and the processes around it. SDC was built for that world.
When we incorporated Axius SDC, Inc. in October 2025, we weren't starting from scratch. We were bringing 26 years of engineering to a market that had finally caught up to the problem we saw coming — the moment machines became the primary consumers and producers of structured data, human-maintained governance would collapse.
This is the story of how that foresight evolved from healthcare research into the deterministic data substrate that autonomous systems require.
The Beginning: Open source healthcare applications for practice management and electronic health records.
Academic Validation: Multi-Level Health Information Model—proving semantic data modeling works in healthcare.
Domain-Agnostic Generalization: Taking healthcare concepts to any domain—finance, government, research, commerce.
Production Platform: Research → Commercial transition. Built on proven foundation, ready for market.
17 open source repositories, 24 international standards implemented, 280+ tests passing. Both sdcvalidator and sdcgovernance are production-ready on PyPI. This isn't slides - it's working code.
MLHIM to S3Model to SDC represents intentional evolution: healthcare to domain-agnostic to commercial. Each phase has working code, specifications, and publications. Continuous development since 2000 with no gaps.
Our team has 17-26 years of partnership, verified by ICMJE disclosure forms (the gold standard journals use). These forms are verified independently—they cannot be faked. Our collaboration is documented in co-authored publications and joint projects.
165+ citations and 12+ peer-reviewed publications in top venues (AMIA, JCI, JAMA, IEEE/ACM) prove the concepts work. This isn't untested theory—it's validated research ready for production.
Axius SDC, Inc. is founded by three partners who've been working together for decades:
Founder & CEO
Creator of FreePM, MLHIM, S3Model, and SDC. 26+ years building deterministic data infrastructure for the era of autonomous machine processing.
Co-Founder & Chief Medical Officer
Professor, Universidade do Estado do Rio de Janeiro (UERJ). 17 years collaboration. Expert in health informatics and social epidemiology.
Co-Founder & Chief Research Officer
Professor, Algoma University. 26 years collaboration. Expert in health informatics implementation and adoption.
100% founder-owned. No outside investors. No board pressure. Three researchers who saw where technology was heading and spent decades engineering the substrate before the demand existed.
We don't ask you to "trust us"—we provide artifacts you can independently verify. Our complete historical archive is available to serious, verified investors upon request.
17 repositories on GitHub with full commit history. 24 standards implemented. 280+ tests.
All papers with DOIs verifiable on Google Scholar and PubMed
sdcvalidator and sdcgovernance live on PyPI. Actively developed.
We're not a new startup with an untested idea. We're 26 years of validated research, in production. Our foundation is solid. Our team is experienced. Our vision is clear.
Want to learn more? Let's talk about how semantic data infrastructure can transform your organization.
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