Predictive Maintenance

Reduce unplanned downtime and optimize asset maintenance for better efficiency

How our sensors work
There is no such thing as a surprise when you know exactly when your machines will break down.

Know your machine’s health better. Receive diagnoses of future asset fatigue, degradation or potential failure from the comfort of your seat. Achieve higher level operational excellence through efficient maintenance works.

Condition-Based maintenance deployment | Groundup.ai
Predictive maintenance dashboard - Groundup.ai
A dedicated Machine Health Report

Transform messy, analogue data into actionable insights to identify your machine’s Remaining Useful Life (RUL) and create better strategic plans from now on.

Optimize maintenance schedules to fit your operational plans.

Leverage on the data and predictions to craft the most optimal maintenance schedules. With repeated learnings and optimizations, automated maintenance schedules become more and more accurate over time.

Optimize maintenance schedules with predictive maintenance solution - Groundup.ai
Predictive maintenance solution - Groundup.ai
Proprietary IoT Sound Sensors - Groundup.ai
Proprietary IoT Sound Sensors, fully designed in-house.

Compact and built to withstand harsh environments, allowing for flexible deployments across a wide range of industries and operational sites.

3D Approach to Analysing Sound

A unique and holistic 3-dimensional approach to analysing sound data to ensure all facets are covered

3D Approach to Analysing Sound - Groundup.ai
Industrial Noise Cancellation predictive maintenance solution - Groundup.ai
Industrial Noise
Cancellation

Accurate sound diagnosis with our proprietary noise cancellation methodology to cancel out surrounding high frequency and high amplitude noises in industrial settings before processing.

Group 8861

Seamless data collection
through sensors and
cameras

Group 8862

Automated data
analysis

Group 8863

Actionable
Insights

Group 8864

$260.000

Group 8864

$260.000

Group 8864

$260.000

Group 8864

$260.000

Group 8863

$1.04 million

saved for every unplanned
downtime reduced

The Benefits
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Reduce unplanned downtime

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Full clarity on machine capabilities

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Extend lifespan of
machinery

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Achieve long-term cost savings from unnecessary maintenance works

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Improve overall productivity

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Avoid operational stress from sudden breakdowns

Our 3 Step Solution

Stage 3 - The Forwarder
  • Leverage Machine Learning to accurately predict potential machine failures
  • Use Decision Optimization to prioritize maintenance works of machinery to reduce operational downtime and to better allocate resources
  • Get 100% clarity on machine capabilities
Stage 2 - The Tracker
  • Real-time monitoring of tracked machinery or equipment with proper indicators of actual machinery performance
  • Instant notification if machinery is underperforming
Stage 1 - The Mine
  • Efficient data collection housed in a solid data repository
Stage 1 - The Mine
  • Efficient data collection housed in a solid data repository
Stage 2 - The Tracker
  • Real-time monitoring of tracked machinery or equipment with proper indicators of actual machinery performance
  • Instant notification if machinery is underperforming
Stage 3 - The Forwarder
  • Leverage Machine Learning to accurately predict potential machine failures
  • Use Decision Optimization to prioritize maintenance works of machinery to reduce operational downtime and to better allocate resources
  • Get 100% clarity on machine capabilities

Resources

Solution to Safety Monitoring in the Logistics Industry

Importance of workplace safety With 22,186 reported workplace injuries in 2021, and 24 workplace deaths in 2022 alone, it is no surprise that the Ministry of Manpower (MOM) conducted 400 inspections in May and June under Operation Ibis in 2021, targeting high-risk sectors such as manufacturing and construction, with a…

Get ready for the Future of Industrial Artificial Intelligence

Introduction to Industrial AI Artificial Intelligence (AI) is no longer a buzzword for the industrial sectors as it is becoming more widely adopted in the new era of Industry 4.0. Industrial AI is the use of AI in industrial use cases in any physical operations such as movement of goods,…
Using sound as the primary indicator for predictive maintenance

Predictive Maintenance: Using Sound as the Primary Indicator

Condition-based Monitoring and Predictive Maintenance Condition-based Monitoring or Condition-based Maintenance (CBM) is a maintenance technique that uses sensors to monitor the status of equipment in real-time during operation. The data collected from the sensors will aid in determining whether and when maintenance should be performed. It can be seen as…

    Get in touch with our experts to find out how to optimize your high-value assets with Predictive Maintenance.


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