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Monthly Product News - November 2023

Updated: May 26, 2025

Updates! We've enhanced case management with new functionalities for case merging and more focused event notifications. We've also rolled out new ML relevance and label modules for improved event relevance, updated our training pipeline for consistent predictions, and welcomed a new Data Science team member to strengthen our AI solutions.

Event Notifications Revamped: Moving Towards Case-based Notifications

Last month we started the Case Notification Project. This month we made it better. We have two new functionalities for you. First: you can merge cases when you see fit. This gives you the ability to streamline case management, reduce redundancy, and maintain cleaner and more organized records. Second: events now get automatically assigned to cases thanks to the new algorithms we developed in an effort to free up your time and empower you to do what you are best at. Tune in next month for even more exciting improvements of our notification system.




Case Card: OEM Status Added

As communication with the Original Equipment Manufacturer is an indispensable part of the Wind Turbine Maintenance Cycle, we have now added a field in the Case Card where you can keep track of the OEM Status.




Machine Learning Modules: ML-Relevance and ML-Labels rolled out

We have now rolled out the new ML relevance and labels modules to all our customers. We also retrained some instances to improve their performance. These modules provide a wider context to the events which you are notified about. This enhancement makes it easier to quickly discern which events should be prioritized and acted upon.



Machine Learning Training: Training instances

We improved our training pipeline, so that if available keys for a given ml template change, we can still generate predictions. Should we notice a change in the available input keys we train a new instance and so ensure uninterrupted support: predictions are generated and notifications can be triggered when needed.

Speed: improving our Condition Monitoring page

In order to provide reliable predictions and send meaningful notifications we work with data. A lot of data. This sometimes leads to longer loading times. We have improved the way we query our database to spare you the waiting time so that you can put it to better use.

We are hiring even more talent

We said it last time and we will say it again: we are hiring. In order to consistently meet your expectations we are making sure to acquire the best talent. We are happy to announce that this month a new member joined our Data Science team and is already hard at work to make sure that our AI powered solutions are meeting your needs.

That wraps up our latest updates. We believe these enhancements will greatly improve your turbine monitoring process. As always, we value your support and look forward to your feedback.


Here’s to achieving even more reliable and efficient turbine operations!

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©2026 Turbit Systems GmbH

AI-driven risk management platform for wind energy

​Turbit is the central platform connecting AI-driven predictive maintenance and performance optimization with financial protection and insurance. We give operators, asset managers and insurers the tools to manage technical risks as early as possible. This enables owners and operators to reap a multitude of benefits, including a massive reduction of operation and maintenance complexity and costs, optimizing power output, asset health, and downtime as well as financial stability and risks. Turbit's AI continuously is improving with a growing customer base, and failure database. Failure modes and solutions are automatically predicted by AI leading to high scalability and accuracy trusted by insurers. Turbit is backed by Vinci Venture Capital to move faster into a future of 100% renewable energy.

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