From raw ideato a shaped system
Glass takes its form while hot and keeps it once cool. An industrial procedure behaves the same way: while it lives scattered across people it is open to being shaped, and once it is ordered, measurable and repeatable it belongs to the organisation rather than to one veteran.
Our work is the technical side of that shift. We build the digital twin of your machine, code your procedure into ordered tasks, and turn training into a measurable session. What you end up with is not a demo but a system that keeps records.
Synaps is the name of that system: a modular VR training and presentation platform for industrial plants, trade fairs and universities.
What webelieve
These are not marketing lines; they are the places where we make a call when a project puts us there.
- 01
Training that cannot be measured is not training
An attendance sheet shows the training happened, not that it was learned. Every scenario records time, error type and completion; the competence decision rests on measurement, not on a certificate.
- 02
The scenario comes from your procedure
Content picked from a stock library feels foreign to a team working on your machine. The source is your assembly instructions, maintenance procedures and risk assessment.
- 03
It starts small and grows on results
We begin with one machine, one line or one procedure. Scope grows after the pilot is measured, not in the first meeting.
- 04
The data can stay inside the plant
A session can run over the local network; it installs in facilities with no internet access and the data never leaves.
- 05
We also say what it is not
Virtual reality does not stand in for physical force, real material behaviour, or training the law requires to be delivered face to face. Saying so up front beats disappointing someone later.
- 06
We do not publish a figure without a source
Most percentages circulating in this industry cannot be traced to a source. Every number on our case studies page is tied to a primary source; the claims we could not tie down are not published.
Where we focus
Not on every sector — on training that repeats and is expensive to get wrong.
- Machine and heavy equipment makers, and distributors
- Automotive and production lines
- Energy, chemicals and high-risk plants
- Universities and vocational schools
Let's start withone machine
We pick the pilot scenario together, make it run, and measure it. The results decide what comes next.