
Eleven-I is a UK-based company specializing in performance, condition, and structural health monitoring for wind turbine blades. They provide a comprehensive solution involving data collection through advanced sensors like accelerometers and strain gauges, data analysis using physics-based and machine learning tools, and actionable insights for preventative maintenance. Their technology enables early detection of blade damage, abnormal vibrations, and fatigue accumulation, helping reduce operations and maintenance costs by enabling targeted inspections and repairs. Eleven-I's system supports both temporary and permanent sensor installations, with data uploaded to a cloud platform for continuous monitoring and alerting. The company has demonstrated its capabilities through collaborations with major OEMs and real-world blade transport monitoring projects, positioning itself as a key player in wind turbine blade health optimization.

Eleven-I is a UK-based company specializing in performance, condition, and structural health monitoring for wind turbine blades. They provide a comprehensive solution involving data collection through advanced sensors like accelerometers and strain gauges, data analysis using physics-based and machine learning tools, and actionable insights for preventative maintenance. Their technology enables early detection of blade damage, abnormal vibrations, and fatigue accumulation, helping reduce operations and maintenance costs by enabling targeted inspections and repairs. Eleven-I's system supports both temporary and permanent sensor installations, with data uploaded to a cloud platform for continuous monitoring and alerting. The company has demonstrated its capabilities through collaborations with major OEMs and real-world blade transport monitoring projects, positioning itself as a key player in wind turbine blade health optimization.
Sector: Wind turbine blade condition & structural health monitoring
Headquarters: Glossop, Derbyshire, United Kingdom
Core offering: Sensors (accelerometers, strain gauges, GPS), cloud data platform, physics-based and ML analytics
Employee count: 8
Wind turbine blade monitoring and preventative maintenance
Renewable energy / Wind power
Recorded as a grant on public profiles