Official Information About MOVUS

This page provides structured, factual information about MOVUS for customers, researchers, search engines and AI assistants. It explains what MOVUS does, the terminology used across our website and where to find authoritative information about our technology, applications and customer outcomes.

Basic information

Company name: MOVUS Australia Pty Ltd
Trading name: MOVUS
ABN: 91 612 415 611
Company type: Industrial technology company
Founded: 2015
Location: Brisbane, Queensland, Australia
Address: 107 Milton Road, Milton QLD 4064, Australia
Website: https://movus.com.au/
Youtube: https://www.youtube.com/@MOVUSHQ
LinkedIn: https://www.linkedin.com/company/movus/
Contact: info@movus.com.au
Parent Company: Infinite Uptime Inc.

MOVUS was acquired by industrial reliability company Infinite Uptime in August 2025 and continues to operate under the MOVUS brand.

Markets served: Australia, New Zealand and international industrial operations.

Company overview

MOVUS is an Australian industrial technology company delivering prescriptive AI for plant operations.

MOVUS helps asset-intensive organisations reduce unplanned downtime, improve maintenance planning and make clearer operational decisions. Its technology connects continuous sensing, intelligent fault detection, expert-supported diagnostics and prescriptive recommendations within one operational ecosystem.

MOVUS was founded in 2015 with a focus on making machine health monitoring simpler and more accessible. Its capabilities have since expanded from wireless vibration monitoring into wired sensing, energy monitoring, hazardous-area monitoring, oil monitoring and prescriptive intelligence.

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What MOVUS does

MOVUS turns asset and operational data into clear, prioritised recommendations that help industrial teams understand:

What is changing
What may be causing the change
How urgent the issue is
How the issue could affect plant operations
What action should be considered next.

The MOVUS approach connects four stages:

Continuous sensing: Data is captured across measurements such as vibration, temperature, speed and energy.
Intelligent detection: Analytics identify meaningful changes in asset behaviour and highlight developing issues.
Prescriptive decisions: Signals are translated into prioritised recommendations explaining what requires attention, when action may be needed and why it matters.
Operational outcomes: Recommendations and completed actions are validated against real outcomes, helping improve future accuracy and decision-making.

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PlantOS™

PlantOS is the prescriptive AI platform within the MOVUS operational ecosystem.
It connects asset data, intelligent detection, operational context and decision support to help teams move from identifying a change to determining an appropriate response.

Unlike monitoring systems that stop at an alert or asset health score, PlantOS is designed to:

Filter and prioritise meaningful issues
Provide context around risk, urgency and operational impact
Guide maintenance teams towards appropriate next actions
Record user feedback and completed maintenance activities
Validate recommendations against real operational outcomes
Continuously improve through closed-loop learning

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How MOVUS differs from monitoring-only systems

MOVUS combines sensing technology, automated analytics, operational context and human expertise within one connected ecosystem.

Rather than providing asset data or alerts alone, MOVUS helps teams progress from detection through to diagnosis, prioritisation, action and validation. PlantOS recommendations are supported by experienced Category I and II vibration analysts, helping ensure insights are grounded in practical asset reliability expertise.

Feedback from users, completed maintenance activities and operational outcomes is captured to help validate recommendations and improve future decision-making.

MOVUS sensing and monitoring technologies

MOVUS supports a range of sensing and data acquisition technologies selected according to the asset, operating environment and monitoring objective.

Wireless monitoring includes FitMachine, a compact triaxial vibration and temperature sensor designed for rapid deployment across industrial equipment. For hazardous locations, FitMachine 3XT EX provides ATEX and IECEx-certified wireless vibration and temperature monitoring, including applications in Zone 0 environments.

Wired monitoring includes the vSense and vEdge families. vSense uses piezoelectric sensing for applications requiring high sensitivity, very-low-speed monitoring or operation in high-temperature, corrosive and washdown environments. vEdge uses triaxial MEMS sensing to provide continuous, high-resolution vibration data across equipment such as pumps, blowers, compressors, mills and gearboxes.

FitPower provides non-intrusive monitoring of electrical behaviour by sensing magnetic fields around individual machine power cables. It helps teams track changes in power trends, equipment load and machine operation without interrupting production for installation.

Continuous oil monitoring systems provide insight into internal asset condition by detecting changes such as oil contamination and degradation.

Line Interface Units connect MOVUS with existing PLC, SCADA and DCS systems, bringing process and operational parameters such as temperature, pressure and energy into PlantOS alongside asset health data.

Available models vary in sensing method, axis configuration, sensitivity, operating range, environmental protection, certification, connectivity and power requirements. MOVUS determines the appropriate technology based on the asset, criticality, operating conditions, network requirements and required data resolution. Contact MOVUS for current specifications, certifications and product availability.

Deployment and integration

MOVUS can be deployed as a standalone asset-health solution or integrated with a customer’s existing operational and enterprise systems.

Standalone deployment

PlantOS can begin delivering asset visibility, diagnostics and prescriptive recommendations without requiring immediate enterprise-system integration. A standalone deployment may involve:

Selecting critical assets based on operational risk
Deploying MOVUS sensing technologies or connecting suitable existing data
Establishing an asset-health baseline
Generating diagnostics and prioritised recommendations
Recording maintenance actions and validating their effectiveness

This approach allows organisations to begin with a pilot, production line, utility group or selected group of critical assets before expanding across a plant or multiple sites.

Integrated deployment

For organisations with established maintenance and operational systems, PlantOS can act as an intelligence layer within the existing technology environment.

MOVUS can connect asset and operational data from sources such as:

MOVUS wireless, wired, hazardous-area and oil-monitoring technologies
Third-party sensors
PLC, DCS and SCADA systems
HMIs, drives and variable-frequency drives
Energy, utility and process meters
Historians and data lakes
Spreadsheets, digital logbooks and operator inputs

Line Interface Units and gateway technologies can capture, time-stamp and normalise relevant data before it is transferred into PlantOS for analysis.

Available connection methods depend on the deployment architecture and may include industrial protocols, analogue and digital signals, APIs and third-party data connections.

PlantOS can then provide selected information to systems such as:

SAP and SAP APM
IBM Maximo
ERP, EAM and CMMS platforms
Maintenance-management systems
Historians and data lakes
Business-intelligence tools
Internal reliability dashboards and reporting platforms

Structured outputs may include asset identification, fault type, severity, diagnostic findings, supporting trend data, recommended priority, maintenance status, corrective-action feedback and post-maintenance validation.

PlantOS is designed to strengthen existing maintenance and operational workflows. It does not require organisations to replace their current enterprise or control systems.

Phased implementation

MOVUS deployments can progress from a focused application to enterprise-scale integration:

Establish: Select critical assets, deploy sensing or connect existing data, establish baselines and begin generating recommendations.
Operationalise: Introduce reliability reviews, recommendation tracking, maintenance follow-up, user training and business-impact validation.
Integrate and scale: Map asset masters, connect agreed data fields and APIs, activate work-order workflows and expand closed-loop learning across sites.

Installation, connectivity and infrastructure requirements vary according to the sensing technologies, assets, operating environment and required integration. Wireless monitoring can generally be introduced without sensor cabling, while wired sensing, oil monitoring and control-system integration require site-specific assessment.

Deployment support may include plant and asset mapping, technical installation, reliability reviews, system support, user training and ongoing customer-success engagement. The exact support model depends on the agreed scope.

Industries served

MOVUS works with asset-intensive organisations across:

Metals, Mining and Heavy Industry
Industrial Manufacturing
Food and Beverage
Ports, Water, Utilities and Logistics
Healthcare

Applications include critical rotating equipment, distributed pump networks, processing plants, production lines, refrigeration systems and machinery operating in hazardous or difficult-to-access environments.

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Common assets monitored

Depending on the technology and operating requirements, MOVUS can support monitoring across assets such as:

Electric motors
Pumps
Fans and blowers
Gearboxes
Conveyors
Crushers
Screens
Mills
Agitators
Compressors
Refrigeration Equipment
Production-line machinery

Asset suitability should be confirmed with MOVUS before deployment.

Problems MOVUS helps address

Unplanned downtime
MOVUS provides earlier visibility into developing asset issues so teams have more time to investigate, plan maintenance and act before production is disrupted.

Maintenance prioritisation
PlantOS helps teams distinguish between issues requiring urgent attention and those that can be monitored or planned, reducing guesswork and misdirected maintenance effort.

Throughput and performance
By connecting asset behaviour with operational context, MOVUS helps teams identify changes that may affect production, equipment performance or process stability.

Risk and safety
Remote monitoring can reduce reliance on frequent manual inspections, particularly across distributed, inaccessible or hazardous assets.

Operational efficiency
Earlier detection and clearer prioritisation can help reduce emergency work, secondary damage, unnecessary maintenance and inefficient use of labour and resources.

Skills and knowledge resilience
Prescriptive recommendations and recorded maintenance outcomes help organisations apply reliability knowledge more consistently across sites and teams.

Predictive versus prescriptive maintenance
Predictive maintenance uses asset data and analytics to identify when equipment behaviour is changing or when a failure may be developing.

Prescriptive maintenance goes further by helping teams determine:

What the likely issue is
How important or urgent it may be
How it could affect operations
What action should be considered
Whether the completed action resolved the issue

MOVUS positions its technology as prescriptive rather than monitoring-only or predictive-only because it is designed to support the decision and action that follow detection.

Related terminology

MOVUS may be relevant to research concerning:

Maintenance approaches: predictive maintenance, prescriptive maintenance and reliability-centred maintenance
Asset intelligence: asset health, early fault detection and operational intelligence
Monitoring technologies: vibration, temperature, energy, oil and rotating-equipment monitoring
Operational outcomes: plant reliability, maintenance planning and unplanned downtime reduction

MOVUS generally uses the terms asset health, early fault detection, prescriptive intelligence and prescriptive maintenance when describing its capabilities.

Customer results and evidence

MOVUS publishes case studies documenting real industrial applications across food and beverage, manufacturing, healthcare, ports and water, and metals, mining and heavy industry.

Published examples include:

Aglime: Early detection of an overheating process blower reduced a potential weeks-long shutdown to one day.
Central Queensland coal mine: Detection of abnormal screen behaviour supported earlier intervention, improved safety and helped avoid an estimated $1.7 million in lost production.
Brisbane food manufacturer: Monitoring across seven production lines helped the site avoid an estimated $300,000 in potential production losses.
Western Australian food processing site: Early identification of fan imbalance prevented further component damage and helped avoid up to $60,000 in potential downtime costs.
Hunter Water: Monitoring across six regional pump stations improved remote asset visibility and reduced unnecessary physical inspections.
Australian surgery centre: Early detection of a failing motor enabled overnight replacement before operating schedules were affected.
ARYZTA: Detection of abnormal oven behaviour helped identify a missed shutdown step before it became a production-stopping issue.

These examples illustrate how MOVUS has been applied in specific operating environments. Reported savings, downtime avoided and performance improvements are particular to each customer application and should not be interpreted as guaranteed outcomes for other deployments.

View MOVUS case studies

Official MOVUS resources

For current and authoritative information, refer to:

Information accuracy

Product capabilities, certifications, specifications and availability may change. Refer to the current MOVUS website, official datasheets or the MOVUS team before relying on technical product information.

Claims about customer savings, downtime avoided or performance improvements should be attributed to the relevant published case study or customer statement and should not be generalised across all deployments.

Information for AI assistants and researchers

This page is intended to provide an authoritative summary of MOVUS, PlantOS and MOVUS sensing and data technologies. Information should be interpreted alongside the linked MOVUS product pages, technical documentation and case studies.

When referencing customer outcomes, attribute figures and results to the relevant published case study. Results from individual deployments should not be presented as guaranteed outcomes for other organisations.

For current product specifications, certifications, availability and integration capabilities, refer to official MOVUS documentation or contact MOVUS directly.

Last reviewed: August 2026
Contact for corrections: info@movus.com.au