Dreija Joins the Joint Action Project for AI-Driven Predictive Maintenance

We’re proud to announce that Dreija has joined the Joint Action Project led by Tampere University, Aalto University, and VTT, and key industry partners. 

The project’s goal is to drive innovation in the industrial sector by:

  • Applying AI and machine learning seamlessly in real-world use cases
  • Accelerating digital transformation across industries
  • Enabling smarter automation in system design and fault detection
  • Using existing data effectively for predictive maintenance and condition monitoring

At Dreija, we will be both contributing to and learning from the project to support the development and validation of new software solutions, such as: 

  • Dreija Factory Online Annotation System for Predictive Maintenance Data
  • Dreija Factory Online Active Learning System for Predictive Maintenance Models

These solutions will strengthen our existing Dreija Factory Online product family and enable a cost-effective, end-to-end system for predictive maintenance. This next-generation platform is designed to unlock new revenue streams and support Dreija’s international growth.