Structured extraction layer
Built from full text, so it can’t be reconstructed from free metadata APIs. We ship facts and synthesis — never the copyrighted expression.
03Why this is defensible
The moat isn't the PDFs. It's the structure.
Abstracts, metadata, and DOIs are commodities. What can't be bought is a
structured extraction layer built over full text — read once, verified, and
versioned.
▣The moat stack
A versioned corpus
Reproducibility is trivial for us, hard for anyone on shifting commercial databases. Same query, same corpus version, same result — forever.
A trust flywheel
Every correction grows a human gold set — better accuracy and a standing regression test competitors can’t clone.
→Wedge → platform
Start where the pain is sharp. Expand where the data compounds.
Beachhead
The systematic-review workflow — known, billable, checkable pain.
Then
A standing knowledge base over the whole corpus unlocks a grounded research-gap engine and a citation-traceable draft writer.
⌁Roadmap
The evidence base
SLR workflow + verifiable extraction matrix. The scholar writes the synthesis.
The knowledge engine
Whole-corpus extraction → gap/idea discovery + a grounded first-draft writer, every sentence traceable to a DOI.
$By the numbers
The beachhead is the UTD-24 B-school market — a known, fundable wedge. We won't ship an invented TAM here.
The corpus at scale
Decades of findings, one connected structure.
This is what we read so you don't have to.
Help shape the system that structures your field.
We're onboarding a small group of design partners. Early access, a direct line to the team, and a real say in the schema.