Your knowledge stops being a pile of documents and becomes a structure you can see, search, and grow, built from your own content, with no taxonomy to maintain. And it is the engine underneath everything else: every learner's competence is measured against this same map, concept by concept.

vs. a typical LMS

Most platforms graph your skills — a generic library of tens of thousands of tags you curate forever. Vergil graphs your knowledge: the concepts you actually teach, extracted automatically from your own material.

What it does

  1. Built from your content, automatically

    Upload a document and Vergil extracts its concepts, links their prerequisites, and places them in the graph — no manual taxonomy, no tagging treadmill.

  2. It de-duplicates itself

    When new material repeats something you already teach, Vergil detects and merges it — directly attacking the content sprawl that has teams building the same thing five times.

  3. Gaps found for you

    The graph flags missing prerequisites and concepts that are taught but never assessed — curriculum holes no folder of files would ever reveal.

  4. Prerequisite-aware paths

    Skills graphs only show which topics are adjacent. Vergil’s prerequisite links let it order the right concepts, the right way, toward any goal or role.

  5. Knowledge you can actually see

    A live, force-directed map of what your organization knows, where it clusters, and where it runs thin — at a glance.

70%

of leaders say performance is suffering from missing skills

Springboard, 2024

~1.8 hrs/day

employees spend searching for information they can’t find

McKinsey

0

taxonomies to build or maintain — the graph builds itself

Questions it answers

“What do we actually know as an organization?”
One searchable map of every concept you have taught or documented — not a sprawl of files and decks.
“Where are our curriculum blind spots?”
Vergil flags missing prerequisites and unassessed concepts automatically, before they cost you.
“Why do we keep rebuilding the same content?”
The graph detects and merges duplicate concepts, so each idea lives once and only improves over time.

The science

A force-directed layout — the same physics used to map social and biological networks — pulls related concepts together, so structure emerges from your data rather than a taxonomy imposed on it.

Sources Springboard State of the Workforce Skills Gap, 2024 · McKinsey — time spent searching for information