Here's how we've solved past challenges
Data analysis with AI tools reduces production losses
The problem
One manufacturing plant had recurring problems with a critical machine that caused 8-10 breakdowns per year. In several cases, this led to complete breakdowns with major consequences for production.
Solution
Historical data was analyzed with AI-based tools to identify patterns and give operators more advance notice of upcoming disruptions. Response time could be extended from five minutes to almost two hours.
Result
Operators can act in time and perform controlled stops. Total machine breakdowns have been reduced, and the plant saves SEK 3 million per year in reduced production losses.
Predictive maintenance in practice - concrete results from different industries
PHARMACEUTICAL INDUSTRY
A pharmaceutical company used sensor data to predict failures in filtration systems. This resulted in a 30% increase in uptime and avoided millions of euros worth of production losses.
ENERGY INDUSTRY
A wind energy company used predictive maintenance to monitor rotor blades and bearings. This resulted in a 25% increase in turbine availability and a saving of €1.5 million per year.
AUTOMOTIVE INDUSTRY
By monitoring production equipment with IoT sensors, an automotive component manufacturer reduced breakdowns by 40% and improved delivery accuracy by 15%.
Gain full insight
We help set the structure needed to turn scattered data sets into decision support and management signals. With the right structure, data becomes a clear driving force behind both operational and long-term decisions.
By digitalize your production with sensors and IoT, you gain access to a comprehensive and detailed view of the entire process. When historical and real-time data is organized and made available in the right way, the right people and systems can act at exactly the right moment. Whether it's operations, maintenance or finding new ways to improve your business.
Using AI, machine learning and advanced multivariate analysis, patterns and causes are identified that otherwise remain invisible. This allows for quick decisions, predictive maintenance and continuous improvements that increase productivity and quality while reducing downtime, energy use and waste.
The result is sustainable and profitable production where every step creates tangible value.