• Inspections
        • Capture consistent, high-quality data about blade damage severity and propagation to minimize downtime.

        • Horizon CMS
        • Improve productivity by lowering drivetrain false alarm rates and producing earlier warnings.

        • Horizon Blade Management
        • Centralize, manage, configure, and track all inspections and maintenance work associated with wind turbine blades.

        • Blade Services
        • Actionable insights powered by wind industry experts, inspections, software, and blade engineering.

        • CMS Diagnostic Services
        • Tech-enabled diagnostic services to support your team along their journey to self-perform.

        • Resource Library
        • Explore resources and content about the renewable energy industry.

        • Blog
        • Get our perspectives on the renewable energy industry.

        • Podcast
        • Check out talks, interviews, and podcast episodes about renewable energy from the bright minds of the SkySpecs team and special guests.

        • Media Kit
        • We welcome use of our logo for articles, press releases, and other publicity materials.

        • Events
        • See what events we’re attending – We’d love to connect.

EU Project “AI-TRAIN” completed



Vertikal AI’s core product is an AI platform for wind turbine drivetrain condition monitoring, using online data streams from vibration sensor systems. The business of condition monitoring is about delivering early warning on mechanical faults, so that maintenance operations and repair costs can be minimized. Early and robust fault detection also reduces unplanned downtime, and thereby lost power production.

Vibration-based condition monitoring has been the go-to technology for the last two decades in the wind industry, and there are more than 150.000 wind turbines with online sensor systems installed on the gearbox, generator and main bearings. However, the related analysis task is extremely manual and requires highly specialized engineers. Vertikal’s innovative AI technology solves this problem by automating a large part of the manual parts of condition monitoring, enabling 10x monitoring efficiency while producing significantly earlier warnings than a human can achieve. However, to build an effective AI-based fault detection system, we needed to overcome the lack of training data and a high level of data disparity.

Project AI-train sought to overcome this by researching technology that can enable AI models that work across different sensor system brands, measurement configurations, turbine and component brands. Vertikal AI software is installed on more than 5GW of wind power capacity globally. The research scope included 4 different sensor system brands, 17 different turbine models, and more than 100 unique drivetrains configurations. Building AI for such a diverse fleet would have been extremely difficult without the technology research in project AI-TRAIN. The Innovation Associate has now been hired permanently, and the research output has become part of the core operating model at Vertikal AI.

Vertikal AI was acquired by SkySpecs in April 2021, and the advanced AI technology researched in project AI-train is now part of Horizon CMS – Read more here.