Overview
Digital transformation phases:
Paper-based processes
Take your next step into your digital transformation to:
- Reduce paper use
- Increase operations visibility
- Accelerate decision-making
Digital Processes
Your next Digital Transformation phase will allow you to:
Real-time information
Avoid human error
Increase efficiency
2D Mobility
Take the step further with Augmented Reality (AR) to:
Increase control
Improved training
Remote assistance
Augmented Reality (AR)
Congratulations!
You have already given all your initial digital transformation steps. What’s next? There is always room to improve your performance.
Contact us and find out how!
Our products
An augmented and connected frontline team to improve efficiency and safety across your shopfloor.
GlarAssist is a Visual Remote Assistance that connects your team and clients, and speeds up efficient problem resolutions.
“Glartek's product reduced our maintenance tasks length by 80%, which increased our plant's overall efficiency. Additionally, workers without any experience with the equipment still managed to execute processes, which made us gain more flexibility and agility.”
Your journey with us
PilotMaximum 3 weeks implementation
A progressive implementation and product testing
Use the pilot testing phase to progressively prove the products’ adaptability to your activity. Test in one or two processes, in an assembly line or in a small facility, and find out the true potential of the solution in 2 to 3 months.
Industrialization
Maximum 3 months implementation
Implement our solution to increase your performance
Industrialize it in one or several installations. Digitize your processes and embark on your journey through industry 4.0, to give you a competitive advantage. Integrate the system, and develop the customizations that you consider necessary.
Continuous improvementA continuous evolution
Monitor your results and improve decision-making
Once implemented, you can use the tool to perform credible and complete analyzes. Facilitate all operations’ visibility and regularly monitor the data extracted in order to find improvement points, introducing new features, and developing continuous improvement measures.
