Internet of Things

Predictive Maintenance

Take your predictive maintenance to the next level with our industry-leading expertise in building collaborative workflows for seamless data analysis and proactive maintenance decisions

Common Workflows

Data Acquisition & Preprocessing

Data Analysis & Feature Extraction

Model Development

Real-time Monitoring & Predictive Analytics

Maintenance Planning & Execution

Model Refinement

The possible problems of portfolio management in the energy industry are poor data quality and availability, lack of domain expertise, complex data analysis, challenges of regular maintenance and recalibration. The opportunities for solving these problems include comprehensive data integration, advanced analytics and machine learning, continuous improvement and condition-based maintenance optimization.

Our Mission

Evaluation of existing workflows and tools for predictive maintenance, with a focus on integration, automation, and collaboration to drive efficiency

Creation of new collaborative workflows for predictive maintenance, recommendation of tools and interfaces to increase the effectiveness of predictive maintenance, eg. by asset downtime reduction

Agile project management to implement these innovative workflows, working closely with our customers for seamless integration

Assessing the results of implemented workflows, ensuring targets are met, and scaling the approach to other predictive maintenance areas