SENSEYE, SCALABLE PREDICTIVE MAINTENANCE
Driven by Industry 4.0 / the Industrial Internet of Things (IIoT), industrial operations are increasingly autonomous. Factories contain numerous sensors that provide real-time data on the status of production and machinery to optimise operations. Welcome to the fourth Industrial Revolution.
Senseye is the only solution that offers scalable predictive maintenance. It uses machine learning to perform condition monitoring and prognostics analysis, without requiring deep pockets or a team of expert data analysts.
Senseye is your operations tool for reducing unplanned machine downtime and increasing Overall Equipment Effectiveness (OEE).
SENSEYE WILL HELP YOU TO
Want to book a free demo?
Then get in touch with us to experience the future of predictive maintenance for yourself
From one machine to thousands, Senseye delivers truly scalable predictive maintenance to ensure that your maintenance strategy can cover all of the assets that you depend upon. Senseye is machine agnostic, covering all of your machines, not just those that are critical or of high value.
Senseye is sold as Software as a Service (SaaS), with a scalable pricing model and a Return On Investment (ROI) of typically less than 4 months.
Time to value
Senseye requires no customisation or extensive setup by expensive consultants. With a supported data connection, deployment is near-instant and actionable results start to be delivered within 14 days.
Specialists not required
Senseye is Operations Technology (OT), designed to automate the analysis of detection, diagnostics and prognostics to give accurate and useful machine health insights for the team on the shop floor.
SENSEYE AT A GLANCE
Other Data Sources
Machine Health Calculation
Insights and Alerts
READY TO LEARN MORE? CONTACT US
Get downtime down, using Senseye to power your predictive maintenance programme today.
Get in contact to share your requirements and discover how much Senseye could improve your operations.
JOIN A FREE WEBINAR
Senseye runs a regular Predictive Maintenance webinar, Q&A and live demo, on the last Thursday of every month. Register to be sent information on joining the upcoming session.