Understanding, not seat time
Academic content is split into masterable units. A learner advances only when a comprehension check confirms understanding — not speed, not memorisation. AI adapts the pace and offers a second explanation when needed.
OpenSchool builds an adaptive, mastery-based learning support layer for mainstream schools: academic content is learned in an AI-assisted focused block, and the freed time goes to experience — projects, skills, entrepreneurship, sport. The teacher becomes a Guide (mentor), not a replacement target.
The same school day, re-divided: a compressed, deeper academic block frees time for what school otherwise never gets to.
Academic content is split into masterable units. A learner advances only when a comprehension check confirms understanding — not speed, not memorisation. AI adapts the pace and offers a second explanation when needed.
The teacher is no longer a content deliverer — they see where learners get stuck (struggle detection), validate mastery and lead. At every critical moment, a human is in the loop.
The time saved goes to what school otherwise never gets to: real projects, skills, entrepreneurship, sport — with the Guide as mentor.
A learner advances only through understanding. When stuck, the system does not loop — it escalates to the Guide.
The teacher stays at the centre — AI assists, humans lead; the teacher is not replaced.
Understanding over speed — checks measure comprehension, not completed exercises.
Human in the loop — mandatory escalation to the Guide when AI is stuck or a learner struggles.
Equity by design — outcomes are measured across learner groups, not just averages.
Transparency and GDPR — consent, revocability, no hidden surveillance.
EU AI Act readiness — high-risk education AI compliance built in from day one.
The pilot is deliberately small and concrete — not "digitalising the whole school", but one focused step with our full support.
or one learning group — the pilot starts at a small, manageable scale
in the Guide role — with our training and ongoing support
we work with the school’s existing curriculum — nothing needs rewriting
with jointly defined goals and openly measured results
The Guide working view: not a "dashboard illusion" of averages, but struggle detection — who exactly is stuck, and where.
Whether learners progress faster with understanding intact — not just completing more.
How much time is actually freed for experience, and how much teacher time shifts to mentoring.
Whether learner wellbeing stays healthy — it is never subordinated to a metric.
Whether the model works across different learner groups — the question large international models leave unanswered.
Still being sought — a school that wants to pilot the "day, re-divided" model and build an accredited-programme partnership.
Schools and organisations in Europe for transnational pilots — we are preparing a KA220-SCH application for the 2027 round.
Pedagogy, AI/product development, research — an early role in a project changing how school works.
An EU-fundable project (Erasmus+, Digital Europe trajectory) with measurable impact and a separate commercial layer.
This semester we launch an MVP pilot as an evidence base: the mastery block, Guide tools, and the measurement layer.
Transnational pilots with consortium partners in three countries; results — open.
The proven model scales to more schools; the adaptive engine generalises to new verticals.
A support layer for mainstream schools: academic content is learned in a mastery-based, AI-assisted focused time block, and the freed time is devoted to experience — projects, skills, entrepreneurship, sport. The teacher becomes a Guide (mentor).
No. The teacher stays at the centre and becomes a mentor. AI assists in the academic block, but at every critical moment human involvement is mandatory — escalation, mastery validation and wellbeing oversight.
We are looking for a partner school in Latvia for the pilot and an accredited-programme partnership, as well as schools across Europe for an Erasmus+ consortium. Fill in the application form — we will get in touch and explain the pilot conditions.
Ethics and wellbeing are built in by design: GDPR compliance, parental and learner consent, transparency, no hidden surveillance, and human oversight in line with the EU AI Act’s high-risk requirements for education AI systems.
Whether you represent a school, an organisation, a fund — or want to join the team — leave a message and we will get back to you within a few working days.
We get to know each other and answer questions — no strings attached.
Together we define the scope, the goals and what we will measure.
We train the Guides, set up the tools and stay alongside you for the whole pilot.
Or write directly: ivo@blsh.it
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