Our work starts by analyzing how the organization actually operates - across production processes, capacity management, energy efficiency, and the places where productivity is lost unnecessarily. By restructuring production processes and introducing the right technology, we lay the foundation for growth that doesn't rely on increasing volume, but on getting better output from existing resources.
We don't see automation, digitization, and modern quality management systems as the goal, but as tools - once they're aligned with the company's specific way of working and its capacity.
Equipment Maintenance and Asset Management
In manufacturing, every hour of downtime has a price. Managing the lifecycle of production equipment, from installation through preventive maintenance to the replacement decision, takes a system, not spreadsheets.
We implement IBM Maximo/MAS as the EAM platform for manufacturing companies: equipment records and full intervention history, preventive maintenance planning, MRO inventory and spare parts procurement, and integration with ERP systems. With our own add-on solutions we take it further, digitalizing procurement (cXML Punchout, B2B Procurement Portal) and technical documentation
When production processes are connected and plant data is captured in real time, AI has a foundation to act on. On that basis, it can predict equipment failures before they stop the line, optimize capacity and energy use, detect quality deviations early, and turn shop-floor data into decisions - results that depend on the process and data layer being in order first.