Virtual reality · Technical training

An unlimited technical lab for every student.

Physics, chemistry, electronics, computing: students handle the equipment of their subject in VR and get it wrong as many times as they need. An AI evaluates every action and explains the mistake. The instructor finally sees who is stuck, and on what.

Standalone headsets
On off-the-shelf VR headsets, no PC.
AI evaluation
Every action scored and explained.
Two platforms delivered
We ship, not just slides.
Session4C-A17.HV
LAT34.85°LNG10.87°RUNTIMEOpenXRDEVICEStandalone VR
StatusONLINE
Unity 6XR Interaction ToolkitOpenXRMeta QuestGroqLlama 3.1Next.jsNode.jsMongoDBBlenderC#WebXRUnity 6XR Interaction ToolkitOpenXRMeta QuestGroqLlama 3.1Next.jsNode.jsMongoDBBlenderC#WebXR

ProofPC Assembly VR, developed in partnership with Uptakers (UPTAKERS project, Erasmus+, University of Sousse). Planned for integration into the ISITCom curriculum from 2026-2027.

See the case
The problem

Technical training has three structural limits

They are not specific to one institution. They are inherent to the format: a physical lab, a time slot, one instructor for thirty students.

There is never enough equipment

Technical kits are expensive, fragile, quickly obsolete and hard to import, whatever the discipline. There is never enough for every student to practise as much as they need.

Budget · logistics · wear

Evaluation stays subjective

A multiple-choice test measures memory, not the gesture. Grading a hands-on task objectively and reproducibly, for thirty students, is nearly impossible.

Objectivity · reproducibility

No visibility on progress

The instructor cannot see where each student is stuck. Without data, there is no individual follow-up and no targeted remediation.

Data · tracking

The platform

Three layers, one learning pipeline

VR that evaluates, not only simulates. It is the evaluation layer that turns a demo into a real training tool.

VR / MR simulation

Realistic virtual labs where the student handles the equipment of their discipline, components, instruments, sensors. The correct action produces a real result: an LED lights up, a reading appears, an arm turns.

Unity 6 · XR Toolkit · OpenXR

AI evaluation

A large language model analyses the work, grades it against explicit criteria, and explains in plain language what is wrong. The same mistake gets the same score.

Groq · Llama · natural language

Instructor dashboard

A multi-role dashboard, student, instructor and administrator, with detail per skill: who has mastered what, where the blockers are.

Next.js · Node.js · MongoDB

Hardware

Runs on off-the-shelf standalone VR headsets via OpenXR. No dedicated PC, no heavy infrastructure to install at the institution.

Proof of capability

Not a concept. Two VR training platforms, already delivered.

Each of the two founders has already designed and delivered a VR training platform in a specialised professional field. PC Assembly VR already carries the full pipeline Hone VR is industrialising: simulation, AI evaluation and dashboard.

PC Assembly VR

Developed in partnership with Uptakers
Built · delivered

A VR platform for computer hardware assembly, built and delivered in partnership with Uptakers. The full pipeline: simulation, real-time AI evaluation, and a multi-role dashboard. Its integration into the "Operating Systems" course at ISITCom (University of Sousse) is planned from 2026-2027.

Unity · C# · OpenXR · Groq/Llama · Next.js · MongoDB

4
modules

Progressive paths, from component to full build

10+
stations

Virtual lab stations available

ISITCom
from 2026-2027

Planned curriculum integration, UPTAKERS project

Working demo

IoT VR Lab

The student wires sensors and microcontrollers, validates the circuit, and the AI evaluates the wiring in natural language.

Multiply, not replace.

Thirty students practise in VR, with no limit on repetition, then run their solution on the one real piece of equipment the school owns. We fit into your teaching, we do not ask you to change it.

Request a demo