Groundup.ai helps industrial companies prevent unplanned downtime and unnecessary wastages through the use of our proprietary IoT sound sensors and AI platform to attain substantial cost savings in machine maintenance without the need for a huge learning curve and high risk deployments on ground.
One Machine at a Time.
The Difference We Can Make
1.
Access to actionable business insights from proper data analysis
2.
Reduce unplanned downtime by up to 50%
3.
Reduce maintenance cost by up to 25% by fixing the right thing at the right time.
4.
Full awareness of machine health and identify the root cause of machine problems
A Unique Sound-First AI-Based
Machine Maintenance Operation System
Industries
Manufacturing
Strengthen operations at scale with improved productivity while attaining extensive cost savings
Strengthen operations at scale with improved productivity while attaining extensive cost savings
Explore
Optimize operations at every level
Resources
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,…
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…
What is Industry 4.0 and How to Get Started
Industry 4.0 is a common term to describe the Fourth Industrial Revolution, representing a new digital age. Industry 4.0 brings many benefits to the table for businesses worldwide; improved productivity, reduced cost, and even lesser machine and production line downtime. This term originated in 2011 as a government project from…