Case Study: KONUX accelerates predictive maintenance innovation with Valohai

KONUX leads the way in predictive maintenance

KONUX is a company that develops predictive maintenance solutions for railway infrastructure using IIoT sensors and machine learning. Their challenge was scaling their machine learning experimentation and production model training efficiently, which led them to adopt the Valohai MLOps platform. They needed a system to manage large-scale experiments without the manual overhead of provisioning and monitoring cloud resources.

By implementing Valohai, the KONUX data science team automated machine orchestration and experiment tracking. This solution allowed them to increase the number of experiments they run by 10x with the same amount of effort. Valohai provided the necessary version control and pipeline capabilities, enabling the team to easily promote successful experiments to production and focus on innovation rather than infrastructure management.

KONUX

Andres Hernandez

Lead Data Scientist