Room booking and course timetabling for higher education. Every slot carries a score out of 100 — and the list of constraints that raised or lowered it.
A weekly grid shaded by score, from pale red to deep green; the Tuesday 2pm cell is selected and shows its score breakdown.
We are opening gradually. Leave us your address and we will come back to you before your wave opens.
Four difficulties come up in every institution we meet.
Higher-education timetables are still largely built by hand, in legacy tools designed as assisted spreadsheets.
Existing optimisers place courses without explaining why one slot beats another. An arbitration you cannot understand is one you cannot defend.
Modern space-booking platforms look excellent, but know nothing of groups, teachers, capacities or equipment.
Property is an institution’s second largest budget line, and the buildings are far from full: half-empty lecture theatres sit alongside saturated sites.
What sets BeeMySchool apart from an assisted spreadsheet — and from a black box.
Every candidate slot is assessed against your institution’s active constraints, and the breakdown is shown in plain language: what is satisfied, what costs points, and how many.
The whole week is shaded by score. The best placement is visible at a glance — and the scale stays readable in greyscale and under colour-vision deficiency.
The solver reasons about the interactions between courses, not about one placement at a time. It proposes, you adjust row by row, you apply — or you do not.
Sixteen constraints — eight hard, eight soft — that you enable and weight. Room already booked, teacher unavailable, oversized lecture theatre, travel between buildings, gaps in the timetable: your rules, your weights.
Five areas, from a room booked in two clicks to the estate figures behind it.
Your teams look for a free room and book it in two clicks. Your institution’s rules apply on their own — and two occupations of the same room over the same interval are rejected by the database, not merely discouraged by the interface.
The week is laid out, filterable by group, teacher or room. When you create a course, only the genuinely eligible slots are offered — and nothing is visible to students until you publish.
Select the courses to place, start the optimisation, watch it progress. It proposes a combination; you adjust it row by row, you apply it — or you do not. Nothing is written without you.
Real occupancy, from campus down to room, over the period you choose. This is the data behind the "optimise before you build" decision — produced by the tool, not by a consultancy.
What each person finds on signing in, with nothing to configure.
See the detailSelect a cell in the grid. The breakdown is exactly the one you would see in the product.
Slot score
78
Hard constraints: all satisfied
Slot invalid: the room is already taken by a reservation.
Soft constraints
Select a cell to see how its score breaks down.
Every constraint is named, weighted by your institution, and its cost in points is shown. Demonstration data
The answers, before the meeting.
Scaleway infrastructure, storage within the European Union. Everything is containerised, which keeps an on-premise deployment open.
Academic and personal data processed within the European Union, sensitive access logged, cookie-free analytics on this site — and therefore no consent banner.
Data isolation is not a WHERE clause in application code: it is enforced by the database itself, row by row.
Who created, changed or deleted what, and when, across sensitive actions — available to your administrators.
Reservations, courses and unavailability share a single occupancy truth. Two occupations of the same room over the same interval are rejected by the database, not merely discouraged by the interface.
Sign-in with Entra ID and Google is in preparation. Academic federation will follow.
BeeMySchool is not yet generally available: we have no customer testimonial and no logo to show. We would rather show you the product.
The product is built and can be demonstrated. BeeMySchool is opening its first pilot institutions: joining the waiting list places you in that first wave.
In France, with Scaleway, and storage within the European Union. An on-premise deployment remains possible.
It covers both space booking and course timetabling — two components usually bought separately. Automated migration from existing tools is planned for a later release; CSV import is available today.
Entra ID and Google are in preparation. E-mail and password sign-in, with connected-device management, is available.
No. The solver proposes a combination, row by row, with its satisfaction rate; you adjust it, request another one, or apply it. Nothing is written without your action.
That is the whole point: sixteen constraints you enable, each of them weighted, plus booking rules and quotas per user profile.
The CSV import assistant covers the room estate, the teaching reference data and the teachers, with encoding detection, preview and recovery on error. The duration depends on the state of your data; we look at it together during the demonstration.
Pricing will be published at commercial launch. We discuss it from the first demonstration, based on your number of students and sites.
Thirty minutes, on a complete fictional institution: a heatmap, an explained score, a multi-course placement.
If you would rather fix the date now, our calendar is open.
See the available slots (new tab)
