Browse by Editorial Category
Browse by Edition Date

October 2018

Skip Navigation Links.
Expand Applying TechnologyApplying Technology
Expand Current NewsCurrent News
Expand Machinery-Metalcutting-ChipmakingMachinery-Metalcutting-Chipmaking
Expand Machine MaintenanceMachine Maintenance
Expand People In The NewsPeople In The News
Collapse SoftwareSoftware
Software Solutions for Die Design
Software Turns Designs into Successful Builds
CAM with Additive and Simpler 5-Axis
BobCAD-CAM Releases Version 31
Navigation System for Sheet Metal Production Management
Datum Probing
CGTech Expands Partnership with Siemens PLM Software
Four-Axis Mill Post-Processor for SINUMERIK
HyperSizer Helps with Weight and Design Time for Dream Chaser Spacecraft
Additive Software Solution Optimizes Additive Manufacturing Processes
Connective Software Solutions for All Processes in Additive Manufacturing
Automation in the Cloud
New Flexible Tablet Interface for Monitoring System
Software Enhancements Create Smoother Workflow
Measurement Software Brings Workflow Improvements
Update of CADCAM Nesting Software
Post-Processing Software Releases
Software Release Accelerates Pace of Product Innovation
CADIQ 11 Offers Enhanced Functionality Usability and Performance
KISTERS AG and Razorleaf Partner on New Aras Connector for 3DViewStation
Latest Release of Kubotek CADCAM Products
Part Inspection Simplified with Software
Advanced Data Mapping
CAM Software Offers Increased Machining Efficiency
Rotary Axis Calibration Made Easy
Senseye Predictive Maintenance Analytics Now Available Through MindSphere
Software Upgrade for Improved Material Yield
Tombstone Manager and Customer Feedback Drives Number of Updates
Software for Continuous Quality Improvement and Performance Measurement
Expand WeldingWelding

show all editions →

Click here to watch Tutorial Videos >

Senseye Predictive Maintenance Analytics Now Available Through MindSphere

Smart factory environment

Senseye, a provider of predictive maintenance analytics, has announced a new partnership with Siemens to make Senseye's condition monitoring and prognostic software available to manufacturers through the MindSphere Industrial Internet of Things (IoT) operating system.

Launched in 2016, MindSphere is Siemens' open cloud environment for collecting and processing data produced by industrial machinery. It is used by organizations worldwide as the foundation for manufacturing process improvements and digital transformation initiatives.

Joining the global MindSphere Partner Program as a silver partner has made Senseye's software available for rapid deployment to users. Senseye is able to receive and analyze data from machines connected to MindSphere, enabling manufacturers to understand the health of their industrial assets and schedule maintenance activities more accurately, without any additional sensor or application investment, specialist staff or training.

Senseye's software is used by leading manufacturers in the automotive, heavy industry and consumer goods sectors to automatically assess the condition and remaining useful life of thousands of industrial machines. Customers have achieved reductions in maintenance costs of up to 40% and halved levels of unplanned downtime.

Simon Kampa, CEO of Senseye, commented: "Manufacturers feeding data into the MindSphere environment can now connect with Senseye and start gaining new insight into the current and future condition of shop floor machinery and industrial plants in just a matter of hours. Our partnership with Siemens is great news for Senseye and manufacturers alike; delivering accurate, automated and scalable predictive maintenance has never been so easy."

Paul Kaeley, Senior Vice President, Global Partner Ecosystem at Siemens PLM Software, commented: "We are delighted to welcome Senseye as a silver partner to the MindSphere partner ecosystem. Modern manufacturing machines and industrial equipment generate huge amounts of data, and applications such as Senseye can enable organizations to take the right actions to improve the efficiency and effectiveness of their maintenance operations."

For more information contact:


Siemens MindSphere

< back