Senseye

Senseye is a predictive maintenance product that uses machine learning to forecast when industrial machines are likely to fail. It is now part of the Siemens industrial digitalisation range. Maintenance teams use it to find where to act first and to move away from reactive repairs.

What Senseye offers

• Failure forecasting — models that estimate machine failure and remaining useful life automatically.
• Asset health visibility — one view of condition and risk across machines, plants and sites.
• Prioritised alerts — help for teams swamped by warnings to decide where effort counts most.
• Staged adoption — a framework that supports basic condition monitoring, then advanced prediction and company-wide rollout.

Who it works with

Manufacturers in automotive, process industries and discrete manufacturing. Published examples include BlueScope Steel in Australia and the German dairy Sachsenmilch.

Key facts

• Owner: Siemens
• Delivery: cloud-based software