Predictive Maintenance

Quick StartCustom AI

Predictive maintenance is an important factor in ensuring stable production capacity to identify potential problems that may arise in advance. Data from sensors, devices, and operating systems can be used to accurately predict asset errors.
For planners and operators, predictive maintenance timing provides a comprehensive insight into asset risk to maintain a higher level of asset availability, providing service-based differentiation, and helping reduce maintenance costs. Using data such as customer's collected equipment information (number of breakdowns, number of repairs, and purchase date), it is possible to predict the maintenance date to prevent equipment failure and to prevent property damage.

Main function

1. Predictive Maintenance
  • Prevention of loss of property
  • Prevention of accidents caused by equipment maintenance
2. Data Security System
  • Thorough data security through security processing
3. Providing various services
  • Interlocking between apps, web and programs is possible by providing various programming languages

API Summary

Data Data type Content Use mode
Input data CSV Equipment information (number of failures, number of repairs, date of purchase, etc.) API
Output data CSV Repair date prediction API

Application procedure

Payment Subscription method
Attached file upon application
Prepaid charge
Customer data required for model creation
Application procedure
  • Apply for service at Home page
  • Training data upload 
  • Consultant review and confirmation of availability
  • Business verification and online contract signing
  • Model generation
  • Use the generated artificial intelligence as an API 


Category Price
API Setting $1,800 ~
API Predicting $0.002/row