Measuring the Shape of
What People Know
NeoGen Intel builds AI-powered knowledge intelligence software that maps how understanding is structured — not just how much someone knows. Our patent-pending mathematical models reveal the architecture of expertise in learners, professionals, and content.
Three Products, One Mission
Decode the structure of knowledge
NeoGen Knowledge Intelligence Platform
Most assessment tools measure what someone knows. NeoGen measures how their knowledge is organized.
Our platform applies proprietary mathematical models — rooted in geometric AI and topological analysis — to map the structural relationships between concepts in a learner's understanding. The result is not a score, but a structural map: a detailed picture of how ideas connect, where understanding is deep, and where it is fragile.
This enables something no existing tool can do: predict what someone is ready to learn next — not based on what they got right, but based on the architecture of what they already understand.
NeoGen AI Assistant
An AI-powered research and consultation engine trained on 9,700+ expert podcast transcripts spanning AI strategy, education technology, and institutional transformation. Live and deployed.
Unlike general-purpose chatbots, the NeoGen AI Assistant provides domain-specific, citation-grounded responses drawn from curated expert knowledge. Designed for researchers, institutional leaders, and policymakers exploring AI integration.
KASANA Research Engine
Federal-grade research infrastructure designed for audit-compliant, reproducible analysis at scale. KASANA has passed 552 automated tests and is deployed for active research operations.
Built to meet the rigor standards of NSF, NIH, and DoD-funded research programs. KASANA automates data pipeline management, statistical validation, and compliance documentation — turning months of research infrastructure setup into a production-ready system.
Every Assessment Counts Answers
None of them measure understanding.
The global education technology market is valued at $189 billion in 2025 and projected to exceed $348 billion by 2030. Yet every major assessment tool on the market measures the same thing: whether someone got the right answer.
Right answers reveal almost nothing about the quality of understanding behind them. Two students can score identically on an exam while possessing radically different knowledge structures — one with deep, interconnected comprehension, the other with fragile memorized facts that collapse under novel application. Current tools cannot tell the difference.
Content analytics face the same blind spot. Platforms measure engagement — clicks, time-on-page, completion rates — but none measure the epistemic quality of content: whether it actually builds structured understanding or just delivers information.
NeoGen Intel solves this by applying mathematical topology — the study of shape and structure — to knowledge itself. Our models don't count what you know. They map how your knowledge is connected, organized, and resilient. This is not incremental improvement. It is a fundamentally different measurement paradigm.
- ● Measures knowledge quantity
- ● "Did they learn it?"
- ● Binary: knows / doesn't know
- ● Scores and percentages
- ● Backward-looking
- ● Measures knowledge structure
- ● "Do they truly understand it?"
- ● Topological: how concepts interconnect
- ● Structural maps and integrity metrics
- ● Forward-predicting
No company in the $189B EdTech market combines mathematical topology with knowledge measurement at scale.
NeoGen Intel is building the category.
Built by Researchers, Designed for Deployment
Dr. David Woodring, Ed.D.
FOUNDER & CEO
Dr. Woodring is a professor, researcher, and AI/TDA expert whose work sits at the intersection of mathematical modeling, artificial intelligence, and higher education. He authored a four-volume Springer Nature book series on human-AI synergy in higher education — a comprehensive framework for implementing, piloting, evaluating, and scaling AI in academic institutions.
His research draws on topology, knowledge measurement, and computational methods to develop novel approaches to understanding how people learn and what they truly know. Dr. Woodring serves on AI leadership councils, holds an Ed.D. with research focused on multilevel statistical modeling, and has invested 7,000+ hours developing the foundational frameworks behind NeoGen's patent-pending technology.
NeoGen Intel's R&D is supported by a dedicated team of research associates specializing in data science, AI engineering, and computational research methods. The team operates within a structured research framework with version-controlled code, automated testing, and audit-compliant documentation standards.
NWACC faculty appointment. Springer Nature / Palgrave Macmillan published author. Partnering with R1 research universities on federally funded studies. Active in regional AI leadership and workforce development initiatives.
From Research to Revenue
Where we stand today
9,700+ expert transcripts indexed. 132K chunks. 14 podcast channels. Production traffic.
KASANA Research Engine. Audit-compliant. Production-deployed for active research operations.
Knowledge measurement methodology under patent review. Novel application of mathematical topology.
Human-AI synergy in higher education. 340,000+ words. 17 chapters. 7 frameworks. Published Feb 2026.
32 identified opportunities across NSF, NIH, DoD, and DARPA. Active proposal development.
Delaware C-Corp. SAM.gov registered. UEI assigned. CAGE code active. NAICS 541715 / 511210.
Let's Build the Future of Knowledge Measurement
NeoGen Intel is an active federal research partner. Contact us for capability statements, past performance summaries, or technical discussions.
We partner with university faculty on STTR-funded research. If your work intersects with knowledge measurement, AI in education, or computational social science, we welcome a conversation.
NeoGen Intel is scaling its knowledge intelligence platform. We're interested in strategic partnerships, cloud infrastructure relationships, and investment conversations.