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Education & institutions
Labiium gives universities a governed AI learning environment for electronics and measurement. Students practise with the same tools they will use on real equipment—while educators retain the guardrails, context, and evidence that make hands-on learning rigorous.
A teaching lab, in one view
› check supply limit
› capture waveform
› save measurement session
What a student actually does
Labiium is the working environment around a laboratory task. It helps learners move from understanding the problem to controlling equipment and defending a result—without turning the practical into a black box.
The student leaves with
Working code
Not copied steps
Real data
With context
Lab judgement
Safety and uncertainty
A repeatable method
Ready to review
Sign in with university credentials and open the code, documentation, notebooks, and experiment resources prepared for the practical.
Student value
Less setup friction
Use the classroom map to select a labelled physical seat. The session connects that learner to the instruments assigned to the bench.
Student value
Clear access to real equipment
Ask questions, inspect documentation, reason about the circuit, and turn the task into a visible Python measurement plan.
Student value
Guidance without hiding the method
Run a simulated or physical experiment through a unified API while configured profiles and limits protect the bench.
Student value
Professional automation skills
Work with structured data, plots, uncertainty, code output, and optional camera context to understand what actually happened.
Student value
Evidence-led engineering judgement
Preserve the code, settings, device context, results, and replayable procedure so the work can be reviewed and repeated.
Student value
A credible portfolio of practice
How the full fleet is operated
The management layer turns a room—or multiple sites—of individual instruments into an understandable teaching fleet. Students get a simple route to the right bench; staff retain operational control.
Labiium manager · fleet overview
Identity, classrooms, devices, sessions, and approvals in one operating view.
Access layer
Each role sees the controls appropriate to the job. The student route stays deliberately simple.
Control plane
Live sites
Electronics lab · Room 1
local discovery active
Project lab · Room 2
local discovery active
4
active student sessions
10
benches available
1
device needs attention
LAMB devices announce themselves on the local network and register their site, identity, and health.
Lab staff bind each device to a familiar room and seat label such as A1, A2, or B4.
Authenticated learners see availability and receive an exclusive, time-bounded bench session.
Teaching teams monitor occupancy, capacity, device status, and active sessions across sites.
Staff can release a session, review a sensitive request, or stop an operation when support is needed.
Reusable prompts, experiment resources, and measurement records carry learning forward to the next cohort.
The dashboard values above illustrate the operating model rather than reporting live institutional usage.
The learning loop
The goal is not to hide the lab behind AI. It is to make the reasoning, tools, and evidence around the lab easier to learn and reuse.
Start with concepts, documentation, and simulated instruments before precious bench time is needed.
Use Mesurii and Python to turn a measurement question into an inspectable PyTestLab experiment.
LAMB connects the workflow to the physical bench, with configured limits and instrument-aware control.
Keep the data, code, instrument context, and replayable procedure together for review and iteration.
The platform stack
Students keep the same experimental thinking as they move from simulated instruments to physical equipment. That continuity makes bench time more purposeful and technical practice more transferable.
PREPARE
Explore concepts and test code without consuming a physical bench.
APPLY
Use the same workflow to measure the non-ideal world of a real bench.
A student can carry their understanding forward; an educator can carry a well-designed practical forward too.
Safety & academic rigor
Bench descriptions make the permitted equipment, context, and operating limits explicit before automation reaches hardware.
01 · EXPERIMENT
02 · CHECK THE CONTEXT
ALLOWED
Run the measured experiment on the physical instrument.
STOP & LEARN
Unsafe settings are blocked before a command reaches the bench.
Designed for the institution
For learners
For teaching teams
For lab operations
Your existing benches, made programmable
LAMB connects the instruments your department already relies on to a unified automation layer. The result is a more teachable lab: physical, instrument-aware, and easier to repeat.
For teaching laboratories, engineering schools & research-led education
Tell us about your instruments, courses, and teaching goals. We will help you map a practical path from the lab you have to the learning experience you want to offer.