SUPPLIER MANAGED

Senseye

United Kingdom
Southampton
2014
Private
< $10m
51 - 200
Open website
Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.
Read More
Senseye PdM is an industrial operations software tool, designed to be used on the shop-floor by the maintenance and operations people who need to keep things running smoothly and ensure that unplanned downtime stays down.

Like all good Industry 4.0 / Industrial IoT software, Senseye PdM is designed to integrate seamlessly and provide maximum value by leveraging your existing investments. It focuses on automatically delivering advanced Predictive Maintenance insights in an easily understandable manner.
Read More
Senseye’s IoT Snapshot maps the range and focus areas of Senseye’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
Technologies
Analytics & Modeling
Predictive Analytics
Use Cases
Predictive Maintenance
Functions
Discrete Manufacturing
Maintenance
Industries
Automotive
Oil & Gas
Retail
Senseye’s Tech Stack maps Senseye’s participation in the IoT tech stack.
  • Application Layer
  • Functional Applications

  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service

  • Control Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors

  • Physical Layer
  • Robotics
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capacity
None
Minor
Moderate
Strong
Number of Case Studies3
Scalable Predictive Maintenance in Nissan
With an abundance of data and insufficient skilled resources to perform analysis, Nissan were keen to expand the benefits of using data to influence maintenance. It decided to embark on a Condition Based maintenance programme to reduce production downtime by up to 50% across thousands of diverse assets. It was attracted to Senseye by its strong prognostics offering underpinned by machine learning.
Predictive maintenance in Schneider Electric
Schneider Electric Le Vaudreuil factory in France is recognized by the World Economic Forum as one of the world’s top nine most advanced “lighthouse” sites, applying Fourth Industrial Revolution technologies at large scale. It was experiencing machine-health and unplanned downtime issues on a critical machine within their manufacturing process. They were looking for a solution that could easily leverage existing machine data feeds, be used by machine operators without requiring complex setup or extensive training, and with a fast return on investment.
Scalable Predictive Maintenance in INSEE
SCCC had committed to running a showcase Digital Factory for the ASEAN region and had already invested heavily in smart factory equipment and sensors. They required a predictive maintenance system that would leverage their existing investments and integrate with their SAP PM maintenance system.
Number of Similar Suppliers5
Seebo
Seebo
Seebo is an Industry 4.0 SaaS platform with laser-focused business solutions that ‘move the needle’ for manufacturers in 3-months or less.Founded in 2012, the company has raised over $22M from Viola Ventures, TPY Capital, Pritzker Group, and other investors. Seebo was named a Gartner Cool Vendor in the Internet of Things for 2017.You can learn more by visiting our website: seebo.com or introduce Seebo to others with the following link: seebo.com/introducing-seebo.
KONUX
KONUX
KONUX is building smart sensor systems for machine insights. Based on the same core hardware tech they are developing smart sensor solutions to generate robust real-time data. By combining the measured data with the right analytics, it will enable the customers to understand their machine problems and make maintenance predictable to saving millions of dollars every year.
Algo Engines
Algo Engines
Algo Engines helps provide operating intelligence for the met masts, wind turbines, solar plants and other IoT systems. They have developed cloud-based SaaS platform for Internet of Things (IoT) Analystics. The other solutions are based on SCADA systems, sensors and Smart Meters.
Toumetis
Toumetis
Toumetis is a profitable, innovative, and ambitious technology provider. They have built long-term partnerships with leading companies by creating large-scale, feature-rich applications for mobile use across all device types and industries. Their Cascadence predictive analytics platform and services help IoT companies mine their data extremely effectively to predict and prevent problems, enable Machine Learning, and manage digital rights.
Infinite Uptime
Infinite Uptime
Infinite Uptime provides an IoT platform that automates Predictive Maintenance for industrial machines, with an initial focus on the manufacturing industry. Infinite Uptime provides an all in one industrial solution with hardware, cloud analytics and control software to monitor equipment, diagnose problems and drive smart decision making.
Download PDF Version
test test