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.
ACCIONA a global infrastructure operator, spent significant time and resources examining water samples in a laboratory to determine chemical concentrations. Due to the time it took to obtain these results, they were often outdated and unreliable which resulted in additional costs related to chemical supply as well as possible regulatory penalties.
Barbara´s Edge platform offers Edge Computing-based solutions tailored for critical installations. It enables the efficient operation and predictive maintenance of high-voltage transmission lines through the application of distributed artificial intelligence and machine learning.
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.
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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.
PiSA, a Mexican pharmaceutical manufacturer operating 16 plants and 17 specialty production lines, recorded data machine by machine according to its own criteria, resulting in conflicting readings that made real-time decisions unreliable and required evidence for every batch to be reconciled manually. Working with the integrator EISOT, the company used Barbara's platform to normalize data from each line at the edge and consolidate it into a single authoritative repository within its own facilities, completing the first phase of its digital twin.
Cuerva ran a distribution network where concentrators, low- and medium-voltage supervisors, and MV remote units each operated on their own protocol at different voltage levels, making congestion and overvoltage in the low-voltage grid detectable only after the fact. Using Barbara's platform, the company consolidated a secondary substation onto a single node and ran Gridfy's AI forecasting models directly within it, giving operators a six-hour forward view of the grid with no cloud in the loop.
As Spain's Transmission System Operator, Redeia found substation functionality tied to the refresh cycle of the hardware it ran on, because protection and control systems were sold as indivisible hardware and software packages. Using Barbara's platform, the company virtualized the substation oscilloscope as containerized workloads on a thin edge node, sustaining 4,000 sampled values per second at the edge and proving that any less demanding use case could run on the same infrastructure.
With 19 factories across Europe and Africa, GBfoods had no visibility into how energy was actually consumed at process level: the data was locked behind a heterogeneous mix of industrial protocols and could not be accessed remotely. Using Barbara's platform together with AVEVA's edge-to-cloud data stack, the company replaced its SCADA-centric approach with one standardized edge architecture, deployed and managed remotely across every site under IEC 62443-4-2.
With more than 200 water treatment projects across 12 countries, GS-Inima Environment found its operational data locked inside a different SCADA system at each facility, with no historical record to analyse. Using Barbara's platform, the company deployed its first edge nodes in under 12 months, standardizing data flows from plants of different ages and vendors into a single real-time stream shared across the fleet.
Enerclic, a leading energy-sector integrator managing more than 7,000 telemetered units across distributed renewable and grid infrastructure, faced growing operational complexity as its fleet expanded. By adopting Barbara's platform as the standard for new deployments, Enerclic centralized device management, automated operations at scale, strengthened cybersecurity, and enabled customers to manage their own devices with greater autonomy.
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Argos, one of the largest cement producers in the Americas, identified the pyroprocess (the most energy-intensive and emissions-heavy stage of cement production) as a critical lever in its journey toward carbon neutrality. To optimize kiln operations, reduce fuel consumption, and lower emissions, the company used Barbara's edge AI platform, enabling real-time decision-making directly at the industrial edge.
Correa Group, a leading Spanish manufacturer of large-scale milling machines, used Barbara's platform to overcome the limitations of traditional IoT solutions, gaining full ownership of its machine data while ensuring operational visibility even without connectivity. Within two years, the company digitized and scaled the solution across more than 70 machines, enabling real-time intelligence and accelerating its transition from a hardware manufacturer to a service-driven business.
With more than 125 years distributing electricity across rural Spain, Aduriz Distribución operated a network built from different manufacturers' equipment, each running a different protocol, in substations with little or no external connectivity. Using Barbara's platform, the company brought two low-voltage substations under a single edge architecture that unified data collection from legacy equipment, secured every transmission and could be maintained remotely without site visits.
Acciona aimed to optimize chemical consumption, improve operational efficiency, and enable real-time predictive intelligence across its desalination and water treatment facilities all over the world. To achieve this, Acciona partnered with Barbara to deploy a scalable Edge AI and Edge Computing architecture that enabled autonomous optimization of industrial applications and Machine Learning algorithms directly at the edge.
