Create a unified history of your equipment from disparate data sources. Apply groundbreaking machine learning methods developed by our team and proven in the field.
Predict equipment downtime. Optimize maintenance schedules to improve availability. Our new machine learning methods integrate all operating data to provide you with a complete understanding of your wind asset's performance.
Our data pipeline integrates data from a large number of existing data systems. Our model outputs can be seamlessly incorporated into existing operational processes via API.
What types of data do we work with? Data Sensor measurements from DCS/SCADA systems, maintenance and inspection data (WMS), ERP records, and unstructured information (photos, PDF documents), among many other data types.
Questions on compatibility with your current equipment data? Contact us.