What could cause an unexpected crash?
Just 1 hour of tie-up caused by unexpected fault can quickly lead to:
Waste of assets
What can we measure?
How can we prevent that?
Constant data gathering
Different sensors continuously send information about the measurements made.
Instant alerts & notifications
Incoming notifications allow you to react immediately in case of any irregularities.
Machine learning and AI
Machine learning algorithms detect patterns and trends, allowing you to avoid downtime caused by machine breakdowns.
Precise planning of service and repairs will allow you to maximise the potential of your production line.
Prevent machine breakdowns and gain insight into their current state.
Following this approach will reduce operating costs and increase production capacity.
What does it mean for you?
Increased customer satisfaction
Make the most of your employees’ full potential, and let the machines do simple and repetitive work.
Minimized production waste
Complete control of production planning and no downtime will significantly reduce production waste.
Stay ahead of the competition by generating savings in new business lines.
Cut of risk-based costs
Accidents and breakdowns are very costly. Avoid these risks by having full knowledge of the condition of your machines and devices.
Use the full potential of your production line capacity.
Reduced costs of maintenance and long lasting machinery
Repair and service machines before they break down and extend their expected service life.
Let's stay in touch
Tell us about your IoT project and we’ll get back to you shortly.
Who will contact you?
IoT Solution Architect