Custom VR training for industry

To practice on the machine,
you have to stop it.

So plants practice little and late, and new operators end up learning with the line running.

We build the simulator of your equipment, with your controls and your procedure: each operator repeats the critical maneuver as many times as needed while the line keeps producing.

How Gerdau Corsa did it

Operator practicing a critical procedure on a Fyware industrial VR simulator, with the headset on, in the plant training room
He practices with the real controls. If he gets it wrong, nothing happens.
Tom Klukowski

Tom Klukowski

Fyware Partner · Valcre Marketing

How can we help?

Let's Talk

Why a talk is not enough

This is what we did and still do. It just no longer takes the place of the message.

Immersive training and safety solutions

We design high-performance extended reality solutions for industrial training, safety, and operational readiness.

Practice the critical procedure hands-on

Our simulations allow teams to practice critical procedures in realistic virtual environments, reducing risk, accelerating learning, and improving performance without disrupting operations.

The value, in one line

Safer operations. Faster onboarding. Measurable performance at scale.

‍Measured Benefits

100%of the team reported feeling capable of performing their activity, versus 11% with the paper manualFyware A/B test, Nov 2024
60%Lower training costsFyware project data

The first-party figures above come from our own operating records: the 2026 Report publishes the full methodology across 750+ projects.

External references: PwC measured up to 4 times faster learning in virtual reality than in a classroom in 2020, in a soft skills course. Brandon Hall Group finds over 70% better productivity at organizations with structured onboarding. The meta-analysis by Howard, Gutworth and Jacobs (Computers in Human Behavior, 2021) finds a moderate overall effect of virtual reality (d = 0.541) that fades or soars depending on how well the task fits the technology: d = 0.207 when the fit is poor, d = 0.820 when it is strong.