Hands-on labs on real machines, with someone who notices when you are stuck.
Every learner gets a real machine. And when one of them stalls without raising a hand, we see it, and help arrives before they give up.
We see the struggle before the hand goes up.
EduShell reads each learner's behaviour, checks failing in a row, the same error repeated, a long idle stretch, and alerts the trainer within seconds. Help arrives before anyone asks.
For a team: your trainer sees who is stuck.On your own, at night: you get help before you ask.
Detected in ≈3s, before any request for help.
Topologies, not sandboxes
Several machines per learner, wired together by isolated networks, with a real Kubernetes cluster when the lab calls for it. Nothing to install.
Live supervision
Follow the whole class, take control of a workstation, answer raised hands. AI alerts flag a stuck learner before they ask.
Verified, not claimed
Every step carries checks that run inside the learner's environment: a file, a port that answers, a Kubernetes resource actually created.
From material to workstation in three steps
Build a lab, schedule a session, invite your learners. Each workstation pre-provisions before the start.
Design the lab
Guided editor (statement, steps, automatic checks, hints), or generate a draft from a PDF.
Schedule & invite
Guaranteed capacity, invite by email, CSV or session code. Automatic reminders.
Run it live
Class grid, take-over, step lock, AI stuck-student alerts, a Qualiopi-ready report.
Security by default
Your data stays in the European Union (Germany).
Data processing compliant with GDPR, no transfer outside the EU.
Each learner gets their own infrastructure, networks included.
Restore tested in under six minutes.
Simple, usage-based pricing
Pay for the credit-hours your learners use. Start for free.
Train your team on real machines.
A real machine per learner, and someone who notices when one of them is stuck. Let's talk.

