Embris: optimising the route to understanding
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Optimising the route to understanding

Knowledge has accumulated faster than the means of reaching it.

Little of it is missing. It is held across libraries, archives, repositories and teaching channels that have no knowledge of one another. Embris connects that field and helps each reader find a route through it.

Working prototype · first university pilots from autumn 2026 · built by students · hosted on EU infrastructure

The argument from first principles

Learning can be described as a search.

Every search begins from what the learner already knows.

The goal state is whatever they are trying to understand.

Between the two lie actions.Reading a chapter, watching a lecture, attempting a problem or asking a colleague each moves the learner to a new state of understanding.

A sequence of such actions constitutes a solution.A student working on eigenvectors might watch a lecture, attempt three problems, ask a peer where the reasoning failed, then read a single worked example.

This search belongs to the learner, and Embris cannot conduct it on their behalf. Two properties of it can be improved: the set of actions available, and the cost of identifying a productive sequence.

The search, term by term

Agent. The person attempting to understand something.

Initial state. What they know at the outset.

Goal state. The understanding they intend to reach.

Actions. Everything they could read, watch, attempt, ask, discuss or practise next.

State transition. The change an action produces. Because it occurs within the person, the same action does not affect every learner identically.

Search space. The set of states and actions reachable from where the learner stands.

Cost. The time, effort, access and confusion a given path demands.

Solution. A sequence of actions leading from the initial state to the goal.

Learners proceed one action at a time, under incomplete information, revising as they go.

1. Widening the search space

The quality of a search is bounded by what it can reach.

In practice a learner chooses among the few options immediately in front of them.

The reachable field is considerably larger:every state those actions could produce, and every state reachable from those in turn. Most of it remains invisible.

Embris therefore connects the existing field rather than reproducing it.Indexing the actions that already exist yields a wider search space than any single publisher can assemble.

More actions, and more kinds of action

Knowledge worth having is held by individuals, institutions, communities, formats and platforms alike. The constraint on learning is seldom the volume of material produced. It is that most of the search space remains invisible to the person searching it.

Learners differ in what they know, what they need and the circumstances in which they are working. The same idea may be conveyed through an explanation, an example, an exercise, a question, a visualisation, a discussion, an annotation, practical experience, a tool or another person.

No single form serves every learner at every moment, which is what makes variation the raw material of an effective search.

A single action does not leave every learner in the same place.Initial states differ, and so do the transitions an action produces. Each reader is left needing something slightly different.

Annotations supply the missing resolution.Because they are small, they can close a gap from anywhere in that spread, and because they are shared, each gap need only be closed once, by whoever encountered it first.

The mechanism is the one Raymond named Linus's Law. Given enough independent readers, defects become visible. Applied to teaching material, difficulty that an author cannot see becomes legible in aggregate.

Why resolution matters

Published content is coarse. An explanation, a paper or a course constitutes a large action, and it either lands or it does not.

Annotations record what a reader noticed at the moment they noticed it, and each becomes an inexpensive action for whoever follows. Coarse actions cannot absorb the variation between learners; a dense layer of fine ones can. Content establishes the route, and annotations adjust it for the individual.

An action carries no meaning in isolation. It acquires meaning only in relation to a state, which makes the search space a graph rather than a list. Charting that graph requires collaboration, and collaboration is the only mechanism that scales with the size of the field. Coverage. Many readers attempt combinations no individual would. Elevation. A connection one person has mapped becomes a starting position for the next.

Axi locates and cites existing knowledge, and where nothing suitable exists it reports the gap. Studio allows people to produce the missing material. The gaps then function as a map of what to build next.

2. Reducing the cost of search

Learning is paid for twice.

Learning is paid for twice:once to establish which sequence works, and once to walk it.

The first cost need only be paid once, after which it can be inherited by everyone who follows.

A large search space is useful only where a good route through it can be found. Embris reduces that cost by four means: learning lines, ranking, learning styles and Axi.

How each one works

Learning lines connect actions so that each prepares the learner for the next. They propose a route without fixing it, and learners may branch away, leave and rejoin.

Ranking. The retrieval model is constructed to mirror the learner's own search. It represents the initial state as the learner's knowledge base, the goal state as the understanding sought through the query, and the transition model as an estimate of how each action may alter what the learner knows. Searching that model returns a ranked list of the actions most likely to reach the goal at low cost. The ranking is advisory and does not decide on the learner's behalf.

Learning styles. Learners differ in how a given action changes their state. Their choices, ratings, annotations and outcomes provide evidence of those differences. That evidence is the subject of research we have planned rather than completed, and we intend to use it to refine the transition model rather than to confirm any existing theory of learning.

Axi. Ranking necessarily proceeds from an estimate of the learner, and conversation is the least costly means of correcting that estimate. In a few sentences a learner can revise every element of their own search: what they already know, what they are seeking, which form would help, what has landed and what constraints apply. Each answer re-ranks immediately, and the correction is retained for subsequent sessions. Axi predicts, directs and cites. It does not conduct the search in the learner's place.

The cost of the actions themselves. Complexity is properly located in the system rather than the interface. Search, the knowledge graph, learning lines and the associated tools open the next action from a single place. The Companion operates on the published page or the local PDF as it stands, without rehosting or reformatting. Annotating, rating, branching and rejoining should cost the learner very little beside the learning itself.

A field of this breadth, shaped by evidence of what learners actually do with it, becomes a working model of pedagogy rather than an assertion about it.

Both levers serve the same search: widening what is reachable, and lowering what it costs to reach. Every component we build addresses one or the other.

See our solution

Communities

One open layer, shared by everyone

An institution retains its own content and its official learning lines privately, alongside a single open community that every member can reach.

Institutions adopt the material they already hold. No rewriting, reformatting or migration project is required.

Design commitments

Non-generative by construction.

Embris locates the explanation a person wrote and identifies its author. It does not compose answers of its own.

Content remains at its source.

Open material is linked and attributed where it is published. It is not copied, proxied or framed.

The course keeps its structure.

Embris extends what a student can reach in the event that a single explanation proves insufficient.

Built by the people it is built for

The learners themselves, rather than observers of them

Embris is made and maintained by students, in the Netherlands, on EU infrastructure.

Founding contributors

Open roles

The terms, stated plainly

These are founding roles, not jobs. Read this part before the rest.

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You own: {{ role.owns }}.

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Concretely, in your first year
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Who we think would fit

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Apply by email →
Open role None of these?

We are open-minded about what the team needs and we do not assume the three roles above are the complete list. If you see an area you would be good at that we have not named, tell us.

A pitch that works: what the area is, why it matters to Embris specifically rather than to startups in general, what you would own, and what you would have done by the end of the first pilots. One page is plenty.

Areas we are aware we are thin on, if it helps: design and the learner-facing experience, content partnerships with educators and publishers, and community, meaning the people who rate and annotate explanations and without whom the ordering never improves.

Pitch it by email →

How to apply

Email Miguel at m.g.d.pereira@embris.ac, or message any of us on LinkedIn: {{ f.sep }}{{ f.name }}{{ f.name }}.

Tell us which role, what you have made before, and what you think we are getting wrong. The last part is not a formality.

We will reply to everyone.

Roadmap

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Find the knowledge, improve it, and help produce more of it

We would welcome contact from educators, from institutions, and from anyone who has abandoned an explanation that was presented as the only one available.

m.g.d.pereira@embris.ac
mbris

Optimising the route to understanding. Every explanation, exercise, paper and lab already published, indexed at its source and ordered for you.

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