Intelligent Automation for Wind Turbine Management At Perceptual Robotics, we leverage AI and automation to transform wind turbine operations. Our autonomous systems, Dot and Eve, deliver high-quality inspections in minutes, reducing costs, downtime, and safety risks while providing unparalleled data accuracy. Eve also empowers site managers with quick on-site assessments. After collecting the data, our AI detects and classifies damages, ensuring a precise understanding of their type and severity. To help manage repairs efficiently, our Repair Now Ratio (RNR) and Repair Module use advanced AI to analyse damage urgency and impact, providing automated, data-driven insights. This enables O&M teams to prioritise the most critical issues and plan maintenance more effectively. By combining AI-powered analytics with seamless O&M integration, we help operators make smarter decisions, extend asset lifespan, and maximise turbine performance—efficiently, reliably, and intelligently.
Perceptual Robotics is seeking a full stack engineer to join their team and develop innovative solutions for their web products, particularly within the renewable energy sector. The role involves collaboration with a skilled team, contributing to the development of core products like management dashboards and data tools, and working with a dedicated Python API. This is an opportunity to work with cutting-edge systems and impact the renewable energy space.
Intelligent Automation for Wind Turbine Management At Perceptual Robotics, we leverage AI and automation to transform wind turbine operations. Our autonomous systems, Dot and Eve, deliver high-quality inspections in minutes, reducing costs, downtime, and safety risks while providing unparalleled data accuracy. Eve also empowers site managers with quick on-site assessments. After collecting the data, our AI detects and classifies damages, ensuring a precise understanding of their type and severity. To help manage repairs efficiently, our Repair Now Ratio (RNR) and Repair Module use advanced AI to analyse damage urgency and impact, providing automated, data-driven insights. This enables O&M teams to prioritise the most critical issues and plan maintenance more effectively. By combining AI-powered analytics with seamless O&M integration, we help operators make smarter decisions, extend asset lifespan, and maximise turbine performance—efficiently, reliably, and intelligently.