A modern production environment requires efficient solutions to improve quality, reduce waste, and optimize production processes. A leading manufacturer sought a way to enhance quality control and decided to implement Trineria’s intelligent production monitoring system combined with AI-assisted camera surveillance. The results speak for themselves.
“We wanted to test whether modern machine vision systems could achieve automated quality assurance. Previously, this was not possible, but with advances in AI, the situation has changed significantly.”
– Customer, Development Engineer in Production Technology
Discover how IIoT prototypes and our monthly all-in-one service helps you avoid common pitfalls, prove ROI fast, and scale.
Learn how to overcome the common hurdles keeping your IIoT pilot projects from scaling, and get the full potential of your digitalization projects.
Many companies invest heavily IIoT sensors and data collection, only to find themselves drowning in data without clear paths to action. This disconnect between information and implementation is costing manufacturers time, money, and competitive advantage. Adding control can transform passive monitoring into automated action, bridging the gap between seeing production issues and actually solving them.
Discover how predictive maintenance can transform your operations. Learn why gathering sensor data and organizing maintenance records is the key to success. Start preparing today!
Owl connects machines, software, and automation. It adapts to your company's needs and grows with you. Start small, optimize production, and expand into AI and predictive maintenance.
Nadia Sabour has joined Trineria's team as Chief Sales and Marketing Officer (CSMO).
Anna-Leena Poukkanen has started as HR Manager at Trineria.
Trineria’s new quality management system meets the ISO 9001:2015 requirements.
The digital Scout Petitions platform is a tool for collecting and processing development initiatives.