The space between your knowledge and your AI
The problem isn't the AI. The problem isn't your knowledge. The problem is the space between them.
Graphify.md exists to close that space with compiled, benchmarked domain knowledge. We're a methodology and context architecture for bringing structure to the AI stack—not a tool, not a platform, not a wrapper around retrieval.
The Compact Knowledge Graph methodology is patent pending (provisional filed April 2026), open-sourced via PyPI, and validated across 47 domains with an open benchmark anyone can verify.
Who's Behind It
Daniel Yarmoluk
Founder. AI Orchestration Architect & Context Engineer.
Scaled AI to 1,000+ users in enterprise consulting (Slalom); led clinical and biotech AI work with healthcare reference customers; adjunct professor, Digital Transformation with AI, University of St. Thomas. Creator of the Compact Knowledge Graph methodology, Retrieval Density Score metric, and the open CKG benchmark (8,121 queries, 47 domains).
Dan McCreary
Benchmark Co-Author. Former Head of AI, TigerGraph.
Pioneer of the intelligent textbook methodology that informed CKG's knowledge architecture. Co-authored the open benchmark validating Compact Knowledge Graphs across domains and use cases. Patent holder (US 11,204,950).
Proof, Not Promises
Everything Is Verifiable
Open benchmark (PDF) — 8,121 queries · 47 domains
pip install ckg-mcp — 53 bundled domains, live today
Live demo — Explore the GLP-1 graph interactively
Healthcare reference customer — clinical AI in production
Patent pending — methodology protected, code open