Rigor, with receipts.
Evaluate the Thought—
Not Just the Output.
In the AI era, output is cheap. Provenance makes learning distance measurable.
What We’re Building
ProvenanceAI is not an “AI helper” and not a detection tool.
It is a new category of education infrastructure:
- a structured workflow (Provenance Path)
- a measurement model (three Distances)
- a credibility system for AI-assisted learning
Why Now
Higher education urgently needs a way to preserve rigor and trust while AI becomes embedded in student work.
Most institutions can’t evaluate the process—only the final artifact. Provenance changes that.
What Success Looks Like
- scalable adoption through implementation → department → institution
- measurable growth over time, not just polished artifacts
- clearer assessment, less faculty stress, stronger student agency
- outcomes that support readiness, retention, and credibility
What I’m Seeking
strengthening implementation-to-adoption pathways
refining pricing and institutional packaging
scaling product maturity and integrations
building a team with deep revenue and operations expertise