NeoGen Intel Inc.
Artificial Intelligence Research & Edtech Innovation
Advanced computational methods for knowledge representation, human-AI collaboration, and intelligent systems — backed by 10,000+ hours of R&D and peer-reviewed publication.
Who We Are
NeoGen Intel Inc. is an AI research and technology company founded by Dr. David Woodring. We develop novel computational methods for knowledge representation, human-AI collaboration frameworks, and intelligent systems that bridge the gap between research and real-world deployment.
Our work is grounded in over 10,000 hours of systematic R&D and published through Springer Nature. We build evidence-based solutions that organizations can deploy, audit, and scale — with documented proof of human contribution at every step.
The company operates across four divisions — Architecture & Engineering, Research & Development, Communications & Marketing, and Business Development & Operations — each focused on translating rigorous research into deployable technology.
Four Divisions, One Mission
Specialized capabilities with clear deliverables and defined interfaces.
Architecture & Engineering
Platform development, infrastructure, and product engineering. Translates validated research into deployable software systems, SaaS platforms, and enterprise solutions.
Research & Development
Computational methods research, peer-reviewed publishing, and data science. Develops novel approaches in knowledge representation, topological analysis, and human-AI interaction.
Communications & Marketing
Brand strategy, technical communications, and outreach. Translates research findings into market-ready positioning and stakeholder communications.
Business Development & Operations
Partnerships, revenue strategy, federal grants, and legal compliance. Brings technology to market through grants, contracts, and strategic partnerships.
Core Research Focus
Our research spans multiple disciplines at the intersection of artificial intelligence, knowledge representation, and computational methods.
Knowledge Graph Systems
Automated construction and validation of knowledge graphs using advanced computational methods and novel mathematical approaches.
Human-AI Collaboration
Frameworks for measuring, attributing, and optimizing human-AI interaction patterns, with documented methodologies for contribution tracking.
Computational Intelligence
Software systems that operationalize research findings into deployable tools for knowledge discovery, assessment, and intelligent data organization.
AI Governance & Standards
Compliance frameworks aligned to ISO 42001 and emerging AI regulation, providing audit-ready documentation and governance infrastructure.
Published Research
Advancing Higher Education with Human-Centric AI Partnerships
A Sustainable Guide for Integrating Generative AI
340,000+ words across 17 chapters, introducing 7 proprietary frameworks and 102 implementation activities. Published by Palgrave Macmillan / Springer Nature. Demonstrates practical application of our AI governance and knowledge systems research.
Visit aiedsynergy.com for publication details and framework information.
Founded & Led by Dr. David Woodring
Dr. David Woodring
CEO & FOUNDER
AI researcher and technology executive. Author of the Springer Nature publication "Advancing Higher Education with Human-Centric AI Partnerships." Over 10,000 hours of systematic human-AI collaboration research including 8,613 documented AI interactions across a 7-month longitudinal study.
Specializes in knowledge systems, computational methods for knowledge graph construction, and AI governance frameworks. Creator of the PALS and HAICS frameworks for organizational AI integration.
Get in Touch
Interested in research collaboration, technology partnerships, or federal contracting.