Trusted by Fortune 500 industrial companies, Senseye™ is the leading cloud-based product for Predictive Maintenance 4.0. It is used by maintenance teams to halve unplanned downtime and increase maintenance efficiency by using proprietary machine-learning algorithms to automatically forecast machine failure and remaining useful life, achieving a typical ROI of less than 3 months.
Senseye improves operational efficiency by:
- reducing downtime - increasing throughput.
- reducing bottlenecks - decreasing operational expenses.
- helping to maintain a steady and reliable flow - forecasting failures, making planned maintenance possible before unplanned downtime occurs.
Senseye already saves industrial companies millions of dollars a month.
Senseye utilises high quality machine condition indicators and asset information stored in your PI System to enable predictive maintenance at scale. PI System integration is achieved using PI Web API; no additional hardware or software is required. Senseye performs advanced detection and diagnostics on time-series data from any machine type with zero configuration. Combined with access to equipment maintenance information, Senseye is able to match real-time data against previous failures and generate prognostic output including Remaining Useful Life (RUL). Results from Senseye can be fed back into your PI System for use in real-time dashboards and reporting.