Check how your operation is performing from anywhere anytime. Create automatic dashboards, alerts and easily communicate with your team to be on top of your production lines.
Save time by organizing data flow stemming from machines, production lines and facilities in one single place. Find what you’re looking for easily by navigating and manipulating your data in an easy intuitive way.
Have full automatic control over your operations by developing no-code applications and deploying personalized machine learning algorithms with a drag & drop interface or external code.
Metals and Mining manufacturing industry are highly impacted by unplanned downtime, low OEE (overall equipment effectiveness), low yield and CO2 emissions.
Pulp and Paper manufacturing companies are one of the largest industries in the world and they just keep growing. Producing paper, notepads, and cardboard packages is an important process, essential for people today.
The Chemicals and Polymers industry has no time to waste on inefficiency or poor productivity. With material and energy costs on the rise, every kind of downtime can significantly damage the process. Anything affecting product quality and customer satisfaction negatively is the primary worry of a company.
The food and beverage industry is unique. It has particular safety and regulatory requirements. Even the production is different than the one in other industries. For these reasons, uniquely approaching food and beverage manufacturing is a mandatory task.
Through machine learning, you can find patterns in the historical data that led to improved or decreased quality, thus giving the possibility to know what to do to avoid quality issues or increase quality and customer satisfaction.
As production processes are constantly evolving, with fluctuating performance over time but also through engineering expertise, machine learning can be used to identify, reproduce and consolidate process configurations that lead to cutting-edge process performances.
Prior to accidental events, early signs are always showing up in a variety of measures on machines. Some behaviors can be obvious and easily identified through operators.
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