Kestävä Systems helps forestry, mining, and port operations catch hydraulic and automation failures before they become costly breakdowns — built on a PhD in hydraulics and automation from Tampere University.
Pulping and paper machines run continuously under heavy hydraulic load. We help reliability teams catch wear and failure patterns before they force an unplanned stop.
Heavy mobile equipment and processing plants in remote locations, where downtime costs compound fast. We build condition-monitoring strategies suited to the operating environment.
Hydraulic cranes and material handling equipment run around the clock. We translate sensor data into maintenance decisions your team can act on before failure.
Predictive maintenance only earns its name when the output is a decision, not a dashboard. We work directly with maintenance and reliability teams to diagnose failure patterns in hydraulic and automated machinery, and design monitoring strategies matched to your equipment and risk profile.
Every engagement starts with your operation's actual failure history and constraints — not a generic sensor package.
Reach out to discuss your operation's maintenance challenges — no obligation, just a conversation about where predictive maintenance could help.