Senseye Predictive Maintenance
Senseye Predictive Maintenance is Siemens' scalable, AI-driven predictive maintenance solution for industrial manufacturers. It combines industrial AI, domain knowledge and scalable technology to help maintenance teams understand asset health, anticipate failure risk and decide where to act first. It supports a consistent maintenance strategy across assets, sites and maturity levels, from early condition monitoring to enterprise-wide deployment. Intended users are industrial maintenance and reliability teams in automotive, process industries and discrete manufacturing. Evidenced use cases include BlueScope Steel (Australia) increasing operational efficiency via asset tracking and daily case reports/KPIs, and Sachsenmilch (Germany), a large dairy, using the AI/ML platform to predict issues, support high plant availability and deliver cost savings.
Transparency Score
Weighted across four pillars · updated October 11, 2026
Capabilities
Vendor Information
Complete information about the vendor/provider of this AI application
EU AI Act Provider Information
Get insights into risk by running assessments on this AI application.
Work at Siemens Aktiengesellschaft? Claim this listing to correct or complete the data.
Ready to manage AI applications?
Track, assess, and govern your AI applications with Anove.