Earlier this year MOVUS Founder and CEO Brad Parsons published an interesting post about the Six Platform Must Haves customers should consider when evaluating Industrial IoT solutions. The fourth point in Brad’s list related to API’s for Integration. For companies embracing Industry 4.0 or Maintenance 4.0, being able to quickly and easily integrate IIoT-generated insights […]
Continuous Condition Monitoring Case Study – The University of Queensland
The University of Queensland is one of Australia’s largest and most prestigious Universities with facilities and operations spread around Queensland. Whilst UQ is considered an Ivy League University, it also has a reputation for being an early adopter of innovative technology – so its no wonder UQ was one of MOVUS’s first customers for its […]
Bringing Maintenance Into the Fourth Industrial Revolution
MOVUS was founded by CEO Brad Parsons in January 2015, initially starting out of The University of Queensland’s iLab, a supporter of technologically cutting-edge entrepreneurial start-up businesses. MOVUS’ flagship product, the FitMachine, provides an end-to-end equipment monitoring solution for industrial machinery using the latest machine learning and artificial intelligence technologies. Potential for Machine Monitoring According […]
MOVUS Shines at Telstra Vantage
MOVUS was recently invited by Telstra Ventures (one of our investors) to be part of their showcase stand at Telstra Vantage late last month. Vantage is Australia’s largest invitation-only technology event and brings together passionate individuals and organisations so as to collaborate on the future and immerse themselves in innovative technology solutions. For MOVUS, this […]
FitMachine Product Update, October 2018
Technology continues to be a key component of MOVUS’ market leadership and our investment remains strong. The latest release of our FitMachine technology stack has several exciting new developments, with more on the way. In brief, Customer self-install now makes installation and onboarding of MOVUS FitMachines safe and easy The latest release of our API […]
Two New Predictive Maintenance Projects Kick Off in Food Manufacturing
The MOVUS Customer Success team were very busy crisscrossing rural Victoria last week as two new Predictive Maintenance projects kicked off. The first FitMachine Pilot Project in Western Victoria was up and running in less than half a day with one of Australia’s major dairy brands. The second project in Eastern Victoria has FitMachine deployed […]
Top 5 Tips to Set Up Your IIoT Pilot Project for Success
The MOVUS team talk to a lot of regional companies across a wide range of industries about Industry 4.0, Industrial IoT etc and we’re always asked about how to set up a project in this space. The questions we’re asked include: What are our customers doing? How are they planning success? What tips could I […]
Operational Excellence Forum – MOVUS Exhibiting
Following on from the Asset Management Reimagined conference earlier this week, we’re off to the Gold Coast to exhibit and talk Predictive Maintenance at the SIRF national event – Operational Excellence Forum on 21 and 22 August. Predictive Maintenance and MOVUS FitMachine If you’re attending this event please stop by the MOVUS booth. You’ll have the […]
MOVUS Exhibiting at Asset Management Reimagined
The MOVUS team will be exhibiting our FitMachine solution at Asset Management Reimagined in Melbourne on 6 & 7 August at the Pullman Hotel Albert Park. Simple But Powerful Predictive Maintenance Capability Predictive maintenance and its potential impact on industrial assets is a hot topic at the moment. Asset owners want – visibility on utilisation, […]
MOVUS Signs Collaboration Agreement with ALS
The MOVUS partner community continues to grow with our most significant agreement completed last month – a broad ranging collaboration agreement with ALS. Based in Brisbane, ALS is the leading provider of Asset Reliability and Integrity Services in Australia. It has maintained its position in this space by continuously seeking the most effective condition monitoring […]