Artificial intelligence
applied to water

Artificial intelligence for more efficient and sustainable management of the integral water cycle.

New technologies for environmental management

Artificial intelligence and cutting-edge digital technologies are radically changing the way natural resources are managed. By collecting, processing, and correctly analysing large amounts of data, we are able to find new answers to the major challenges of the water cycle and to make production and environmental processes more efficient and sustainable.

By combining artificial intelligence with cutting-edge software architectures, we develop digital services that improve decision-making in a wide range of operating environments: from monitoring and predicting events that affect water quality to maximising network efficiency and asset lifecycles.


Priority lines of work

  • Using machine learning to characterise and predict events related to water quality and network operation.
  • Deep Learning and computer vision applications in the integral water cycle and environmental management.
  • Processing of satellite imagery and generation of advanced environmental indicators.

Projects of note

We take part in R&D&I projects aimed at achieving transformative outcomes. These are some of them:

View all projects
  • Water 4.0

    Deep Plant

    Computer vision for automated detection of anomalous events in water plants

  • Water 4.0


    Application of Artificial Intelligence for the prediction of water resources.

  • Water 4.0


    Water data management ecosystem

  • Water 4.0


    Monitoring of drinking water through the Copernicus programme.

  • Water 4.0

    AB Twins

    Digital twins for water network operation.

Would you like more information about Water 4.0?

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