Efficient Asset Management through Predictive Maintenance in Manufacturing Industry

Groundup.ai's predictive maintenance solution offers a strategic approach to reducing unplanned downtime and improving production efficiency for manufactures. Leveraging real-time monitoring and AI-driven insights, the solution not only ensures optimal machine performance but also minimizes costly disruptions. The system has shown success with a 20% increase in equipment uptime, 50% reduction in maintenance planning time, and a 10% reduction in both overall maintenance costs and material expenditures.

Machine Learning
Software / Hardware
Features
  1. Comprehensive Data Acquisition: Adopts a non-intrusive and non-invasive method with magnetic-based IoT sensors for precise data collection of vibration, temperature, and sound.
  2. Machine Health Overview: Provides clear insights into machine health, helping prioritize maintenance efforts effectively.
  3. High Accuracy in Anomaly Detection: Promptly detects machine anomalies with more than 90% accuracy, allowing for swift interventions.
  4. Root Cause Analysis & Prescriptions: AI identifies suspected machine issues, eliminating the time-consuming process of investigating various possibilities to identify the actual problem.
Use Cases
Vertical Specifics
Business Tags
Platform
Use Cases
Solution Info Link
Seller
Seller Name
Groundup.ai
Past project(s)
14+
Client(s)
16+
Country
Singapore
Specializes in
Manufacturing, Construction, Mining, Logistics
Seller Page
Efficient Asset Management through Predictive Maintenance in Manufacturing Industry
Description

Groundup.ai's predictive maintenance solution offers a strategic approach to reducing unplanned downtime and improving production efficiency for manufactures. Leveraging real-time monitoring and AI-driven insights, the solution not only ensures optimal machine performance but also minimizes costly disruptions. The system has shown success with a 20% increase in equipment uptime, 50% reduction in maintenance planning time, and a 10% reduction in both overall maintenance costs and material expenditures.

Vertical Specifics
Business Tags
Platform
Use Cases
AI Category
Machine Learning
Data Source
Tabular
Hardware / Software
Software / Hardware
Solution Info Link
Features
  1. Comprehensive Data Acquisition: Adopts a non-intrusive and non-invasive method with magnetic-based IoT sensors for precise data collection of vibration, temperature, and sound.
  2. Machine Health Overview: Provides clear insights into machine health, helping prioritize maintenance efforts effectively.
  3. High Accuracy in Anomaly Detection: Promptly detects machine anomalies with more than 90% accuracy, allowing for swift interventions.
  4. Root Cause Analysis & Prescriptions: AI identifies suspected machine issues, eliminating the time-consuming process of investigating various possibilities to identify the actual problem.
Use Cases
  1. Aerospace Manufacturing Industry:
    Discover the role of our sound sensors in doing 24/7 monitoring, anomaly detection and predictive maintenance for this global leader in the aerospace industry.
  1. Crane Manufacturer Industry:
    To set up a Predictive Maintenance system to perform 24/7 monitoring, send out error alerts, and detect anomalies that have not been uncovered by the technicians.
Seller
Seller Name
Groundup.ai
Past project(s)
14+
Client(s)
16+
Country
Singapore
Specializes in
Manufacturing, Construction, Mining, Logistics
Seller Page