Cost-Effective, Safe, and In-Depth Training Project

Cost-Effective, Safe, and In-Depth Training Project

Companies with expensive, bulky, or sensitive equipment (e.g., pharmaceutical, logistics, industrial sectors) can now train new operators using virtual models of their machines.
This reduces:

  • Physical space and maintenance costs

  • Downtime of real machines

  • Risk of accidents during training

Additionally, because everything is virtual, it’s possible to:

  • Demonstrate hazardous scenarios (e.g., improper handling, overheating, safety failures) without any real risk

  • Explore the interior of machines to better understand their components and operation, as if the structure were being “dissected” in real time — something impossible in a traditional training environment

Companies with expensive, bulky, or sensitive equipment (e.g., pharmaceutical, logistics, industrial sectors) can now train new operators using virtual models of their machines.
This reduces:

  • Physical space and maintenance costs

  • Downtime of real machines

  • Risk of accidents during training

Additionally, because everything is virtual, it’s possible to:

  • Demonstrate hazardous scenarios (e.g., improper handling, overheating, safety failures) without any real risk

  • Explore the interior of machines to better understand their components and operation, as if the structure were being “dissected” in real time — something impossible in a traditional training environment

Showcasing Prototypes and Processes Anywhere

Showcasing Prototypes and Processes Anywhere

With Digital Twins, it’s possible to bring machines that don’t yet physically exist — prototypes — to events, investor meetings, trade shows, or remote training sessions using just an MR device.

There’s no need to transport or set up physical prototypes.
Just a digital model, and the world becomes your demonstration room.

This enables:

  • Presenting products still in the design phase with full visual impact

  • Reducing logistical costs of transporting heavy equipment

  • Creating highly engaging technical presentations for commercial, educational, or internal contexts

With Digital Twins, it’s possible to bring machines that don’t yet physically exist — prototypes — to events, investor meetings, trade shows, or remote training sessions using just an MR device.

There’s no need to transport or set up physical prototypes.
Just a digital model, and the world becomes your demonstration room.

This enables:

  • Presenting products still in the design phase with full visual impact

  • Reducing logistical costs of transporting heavy equipment

  • Creating highly engaging technical presentations for commercial, educational, or internal contexts

Cost-Effective, Safe, and In-Depth Training Project

Companies with expensive, bulky, or sensitive equipment (e.g., pharmaceutical, logistics, industrial sectors) can now train new operators using virtual models of their machines.
This reduces:

  • Physical space and maintenance costs

  • Downtime of real machines

  • Risk of accidents during training

Additionally, because everything is virtual, it’s possible to:

  • Demonstrate hazardous scenarios (e.g., improper handling, overheating, safety failures) without any real risk

  • Explore the interior of machines to better understand their components and operation, as if the structure were being “dissected” in real time — something impossible in a traditional training environment

Showcasing Prototypes and Processes Anywhere

With Digital Twins, it’s possible to bring machines that don’t yet physically exist — prototypes — to events, investor meetings, trade shows, or remote training sessions using just an MR device.

There’s no need to transport or set up physical prototypes.
Just a digital model, and the world becomes your demonstration room.

This enables:

  • Presenting products still in the design phase with full visual impact

  • Reducing logistical costs of transporting heavy equipment

  • Creating highly engaging technical presentations for commercial, educational, or internal contexts