The Competence Infrastructure
From the first course to lasting knowledge, Vergil guides your organisation’s upskilling, with a science-based statistical engine measuring what people truly know.
Visit vergilai.comOur thesis
Vergil’s Theory
We treat learning as one of the most consequential sciences there is. A platform built to teach the way the mind truly learns cannot rest on intuition. It has to answer to evidence: to how attention, memory, and understanding actually behave. So we ground Vergil in the most durable work the field has produced, the theories that have survived decades, and in some cases centuries, of scrutiny.
But we do not simply reprint what was published in the past. We take the most acclaimed and effective research ever conducted on human learning and recompose it, combining it, extending it, and testing every result against our own, until separate discoveries become a single, coherent instrument. Those studies are the building blocks of Vergil’s analytical engine: a system precise enough to glimpse the shape of a learner’s mind, and disciplined enough to know how certain it is.
We refine that engine without pause, keeping Vergil at the frontier of science-based learning. This is not a feature of the platform. It is its soul.
The Founders
Built by People
Who Care About Learning
“Education is the strongest weapon in the defense of liberty.”
Botond studied at King’s College London, where he had a particular interest in the philosophy of languages. This placed him at the forefront of generative language model adoption and exploration. Teaching himself computer science, he experienced firsthand how antiquated education can still be. He formed Vergil to democratise the calibre of learning hitherto reserved for the elite.
“What drives me is simple: seeing people smile when they realise learning can actually be fun.”
While studying law in the Netherlands, Daniel started working on Vergil with Botond, and quickly developed a fascination for what artificial intelligence could do for education. Having sat through enough dull onboardings and upskilling himself, he knew from the get-go that it could and should be better.