Background
Energy operators across Europe manage ageing infrastructure under growing demand. Most maintenance is still scheduled or reactive, which leads to costly outages and wasted resources. Better use of existing sensor data could change this.
Proposed solution
The platform combines machine learning models with real-time sensor streams to predict equipment failures days or weeks in advance. Operators receive clear alerts and recommended actions through a simple dashboard that integrates with their existing systems.
Objectives
- Reduce unplanned downtime
- Lower maintenance costs
- Improve grid resilience
Test SME Beta
Greece
Test SME Beta is a Greek technology company founded in 2019, specialising in industrial AI and IoT analytics. Its team of 15 engineers and data scientists works with utilities and manufacturers across Southern Europe.
