SkAIwatch is a predictive maintenance programme from Karsten Moholt that supports all types of rotating machinery. We have used our experts in electrical machinery and vibration analysis and machine learning in order to automate deviation detection and prognoses.

SkAIwatch uses big data combined with machine learning and deep learning to monitor and reveal the condition of your rotating equipment.

SkAIwatch can reduce your maintenance costs by 30–40 %, unplanned downtime by 40–50 % and optimise spare parts storage by 15–20 %.