By deployment of Predictive Maintenance we help our clients to get long-term financial benefits, minimizing failures and unplanned downtimes and optimizing the maintenance process.
Predictive Maintenance is a remarkably efficient modern approach to maintenance. With use of artificial intelligence huge amounts of data are analyzed in order to find dependencies that predict/foresee failures long before they occur. Due to this knowledge one can avoid failures and optimize the whole maintenance process.
We provide different Predictive Maintenance solutions from centralized analytical system with limitless possibilities to small autonomous prediction devices which do calculations directly on the device. Our solutions base on the cutting-edge artificial intelligence algorithms such as Deep Learning and use computational infrastructure based on graphic processors.
Our solutions will help you not only avoid the cost of failures but also optimize exploitation, maintenance and logistic processes and, as a result, bring financial profit to your company:
We are the AGH UST spin-off established in 2014. We gathered experience in fields such as building and exploitation of machines, mechatronics, applied mathematics and computer science. Our team is the combination of great experience of well-known professors and fresh look and innovative approach of younger members of the team. It enables us to achieve the synergy (effect) and implement the cutting-edge data analysis algorithms in a quick and efficient way.
Together we will use potential of the data generated by your machines.
Always be one step ahead of competitors.
Make incredible things with us.