AI Industrial Analytics transforms your industrial data into actionable insights and strategically relevant information to develop data driven services. Our Industrial Analytics platform and AI algorithms deliver the right solution for your use case - from predictive maintenance and condition monitoring to predictive quality and machine fingerprinting. Our solutions are platform-independent and provided as software-as-a-service on all standard cloud platforms as well as on-premises.
You can use data-driven services to reduce unexpected downtimes, perform maintenance precisely when it has the lowest-possible impact on production and avoid long stoppages or unnecessary personnel and material costs.
With USU Industrial Analytics for manufacturing, you can identify potential problems and defects earlier in the process. You can then take action to reduce material expenditures and keep rejects to the bare minimum – all with the aim of providing reliable product quality.
Intelligent, self-learning algorithms enable you to reduce maintenance intervals by making continual improvements, identifying optimization potential, and boosting production performance. In short: Achieve long-term improvement in Overall Equipment Efficiency (OEE).
Data analysis also delivers valuable information for predictive action for customers and related services. Optimization potential can be tapped in areas like repair services and replacement parts acquisition.
Predictive maintenance optimization, long-term performance gains and customers who are perfectly satisfied – you can achieve all three with the help of our intelligent data-driven services. This is the way to create a springboard towards secure and expandable competitive advantages.
Don’t just collect it, use it – that is our motto. Whether it's production and service data, event logs or physical measured variables – we turn data potential into business potential. With this information in hand, you can develop hidden options, new service products and new business fields.
The amount of data is massive, and so is its potential. Amid this complexity, intelligent assistant systems produce an essential overview and suggest specific actions employees should take: Who is needed, where, and when – on a machine, in production management, in quality control, or in the service department.
Technical challenges and core jobs should have the highest priority. Our data-driven services let us create the industrial intelligence and automated support that gives you time to focus on your business strategy goals.
AI will not rob any person of his or her job. Rather, it will give your team the self-assurance it needs to effectively complete its tasks – while producing high quality and boosting productivity. All while dealing with an increasing level of complexity.
Solid industry experience combined with the very latest know-how – this is how we create successful use cases that generate the desired results in the shortest period of time. Engage us and don’t waste your valuable time on the time-consuming and expensive setup of internal company expertise.
Your workforce is ready. Your use case is set to begin. Perfect. We offer turnkey solutions that use our preconfigured standard components designed specifically with mechanical-engineering companies in mind. For a lightning-fast go-live without long project duration periods.
Is the idea of storing your data in the cloud a no-go for you? No problem: We’ll put your algorithm in a docker container or similar – so it can be up and running right away, directly on the machine and not in the cloud.
Heidelberger Druckmaschinen AG is a pioneer in the field of innovative service offerings that rely on a big data analysis platform. Leading-edge, scalable technology and analysis options mean that service processes are improved and new service offerings are developed simultaneously. The priority here is identifying irregularities early on by evaluating a machine’s status data. The aim is to eliminate imminent faults through planned servicing measures before they disrupt the production process, like ensuring maximum machine availability thanks to intelligently planned, proactive servicing. Predictive monitoring coupled with data-driven process optimization increases the efficiency of customers’ value creation chains.