Asset condition monitoring

Reduce and prevent downtime. Make first-time fixes every time. Provide better assistance and strengthen customer loyalty. Remote monitoring and predictive maintenance for service is the best way to transform your business.

Implementing an IoT platform

Industrial companies face pressing challenges that require IIoT
solutions. From remote monitoring and service to workforce
efficiency and asset optimization, IIoT solves common challenges
across different industries

Digital Manufacturing

  • Real-time Production Performance Monitoring
  • Asset Monitoring & Utilization
  • Connected Work Cell
  • Digital and Augmented Work instruction


  • Remote Service
  • Field Technician/ Inspection Efficiency
  • Data-Driven Maintenance
  • Product Intelligence

Real-time Production Performance Monitoring

  • Provides a prescriptive way to capture, contextualize and visualize your Overall Equipment Efficiency (OEE) data with a template that is architected for speed to value, rapid scale and impact
  • These insights drive identification of under performing assets and allow new efficiencies to be identified and acted upon

        5- 20%                                    2- 10%
Increase in OEE                  Increase in yield

Gain a real-time, holistic view of your operational performance across your plants, lines and assets

Dashboard overview

  • In-Depth Availability Data¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†
  • Root Cause Analysis
  • Export Raw Data
  • Quality & Performance Data
  • Automate Data Capture
  • Reason Tree Configuration
  • Alert Notification
  • Key Performance Indicators

Maximise your Condition Monitoring with IoT

  • Maximise Profit
  • Improve Efficiency
  • Reduce Costs
  • Improve Quality
  • Maximise Flexibility


Essential Steps for implementing IoT Condition Monitoring


  1. Identify the assets that require monitoring
  2. Identify the known and possible failure modes of those
  3. Identify and install the sensors that will recognize these
    failures modes – and an IoT platform for monitoring and
    analysing the data
  4. Define baseline limits that will determine when the system
    should alert the technicians

IoT based Condition Monitoring Case Study


Client had difficulty monitoring pumps that undergo cavitation
intermittently, ultimately causing impeller wear and possible


Improved profitability through remote monitoring and predictive
maintenance of complex fluid control systems:

  • Avoided a $16 million cavitation problem
  • Reduced unplanned maintenance costs and emergency work
  • Enhanced equipment availability & efficiency

An end- to- end Smart solution for Predictive Maintenance

A complete solution for real time monitoring of industrial equipment
which includes 3 main components:

1. Multi Sensors Device ( tri-axial vibration, ultrasound, temperature)

  • Learn & Monitor
  • Analyse before transmission

2. Network & cloud server

  • Scalable Server Technology
  • Secured, encrypted transmission

3. Monitoring Platform

  • Visualisations
  • Alerts
  • Set-up & configuration



Get In Touch


Aberdeen , Scotland, UK (Head Office)

London, England, UK


Call Us