Find out how others have succeeded

By implementing real-time optimized Machine Learning algorithms at each of its desalination plants, ACCIONA a global infrastructure operator, managed to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and leverage an edge infrastructure to implement new predictive applications.

A Single Source of Truth eliminates the hurdles of data inconsistency by centralizing and standardizing data, ensuring all stakeholders operate from the same reliable information. Learn more in this use case Discover how to implement a centralized data collection with Edge Computing Architecture.

Learn how Enerclic transformed its operations and services through the remote management and monitoring of 7000+ devices in the field with Barbara´s Cybersecure Edge Platform.

Barbara’s Edge Technology enabled the Virtual Oscilloscope Microservice that was integrated into Redeia’s architecture, offering a cutting-edge solution to improve efficiency and reliability.

Unlocking new value through servitization with Barbara Edge Infrastucture. By embedding Barbara’s technology into its machines, CORREA wants to evolve from a traditional hardware-centric model to an innovative, service-driven approach.

As the Oil & Gas industry embraces IIoT, AI, and machine learning, real-time data has become a key driver of operational efficiency. But traditional cloud-based AI struggles in remote, harsh environments due to unreliable connectivity, high data transfer costs, and security concerns. In this paper, we showcase real-world use cases powered by the Barbara Edge AI Platform, demonstrating how Edge AI is already delivering tangible value in Oil & Gas operations.

From Siloed Data to Distributed Intelligence. Discover how GS-Inima is transforming water operations with Edge AI

A collection of real-world success stories from across industries, highlighting the tangible impact and business value of Edge AI in action. From intelligent demand forecasting in energy, to monitoring production lines and energy consumption to predictive maintenance all in real-time. The impact is vast, and the possibilities are limitless.

Achieving fuel savings in the pyroprocess through the deployment of real-time predictive models in clinker kilns with Barbara Edge AI Platform.

With Barbara's Edge Platform, CUERVA is able to capture and process real-time data from line cells and fault pass detectors as well as detect anomalous behavior and optimize its maintenance operations.

CUERVA, a Spanish Energy Operator required a predictive system based on consumption and production patterns to help them avoid congestion and overvoltage events in the grid. Barbara facilitated the Edge Platform to deploy AI algorithm for demand and generation prediction and enabled MLOps techniques to retrain algorithm in the Edge.

By implementing Edge Computing, Aduriz aims to enhance system interoperability, bolster cybersecurity, improve data management, and enable the deployment of models at the Edge, driving greater business intelligence and operational efficiency.

Learn how Barbara enabled Smart Grid stakeholder to virtualize the components of a medium to low voltage transformer substation and achieve independence between hardware and software and enable peer-to-peer cooperation between substations.

To operate more efficiently, water management operators need to be able to monitor in a unified and comprehensive way all components that make up the OT and industrial automation architectures.

Aggregate heterogeneous distributed resources and facilitate physical world connectivity. Barbara's software enables the creation of Virtual Power Plants through Edge Computing Nodes that monitor and control the power sources, and a centralized control platform that manages the entire system in an agile and simple way.