AI and IoT software platform for predictive maintenance and asset reliability.
Powerful and intelligent features that empowers reliability, maintenance, production and digitization teams to reduce unplanned downtime and increase asset reliability. Don’t guess machine downtime, predict it.
Sense and predict machine failure
Digitally transform maintenance
Drive digital adoption and data driven decision making with easy to use web and mobile app.
Failure risk prediction
Machine Learning models predict the risk of failure of equipment in next 30 days based on its temperature, vibration, ultrasound, magnetic signatures.
Automatic fault identification and categorization
ioEYE predict continuously compares the machine’s data signatures against the machine’s historical data and our fault database for similar machines to identify a fault condition or anomaly. Then machine learning and deep learning models classify these anomalies into specific faults for your maintenance team to investigate further.
ISO 10816 trending and threshold alerts
Overall measurements like velocity, displacement, acceleration, high-frequency accelerations, energy bands can be trended and alerts configured based on the ISO 10816 machine classifications.
End to end security
Powerful features in a software as a subscription model
MULTI SITE SUPPORT
Supports managing assets spread across multiple sites or locations.
Automatically track equipment run hours without any manual entry.
Scan your assets QR code for quick access to your asset health dashboard.
Easily integrate with third party apps, like CMSS, through a REST APIs.
Create troubleshooting guides and SOP checklists and apply them to specific fault codes.
ENTERPRISE ADMIN CONTROL
Role based user permissions and central administration of devices and application.