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Eletrobras, Latin America’s largest power utility, has partnered with C3 AI to deploy C3 AI Grid Intelligence across its transmission network in Brazil. This collaboration, part of the Eletro.ia program, leverages AI to enhance real-time fault monitoring, operational efficiency, and grid resilience, transforming how Eletrobras manages its vast energy infrastructure.
Eletrobras adopts C3 AI Grid Intelligence for real-time grid monitoring.
Solution scales across all transmission assets after a 2024 pilot.
C3 Generative AI streamlines operational reporting for efficiency.
Fault detection and resolution now achieved in under 10 seconds.
Enhances grid stability and compliance across Brazil’s power network.
Supports Eletrobras’ Eletro.ia program for enterprise-wide AI adoption.
Eletrobras has launched a strategic initiative, Eletro.ia, to integrate AI across its operations, and its partnership with C3 AI is a cornerstone of this effort. Following a successful 2024 pilot across 10 substations, Eletrobras is now scaling C3 AI Grid Intelligence to all its transmission assets. Lucas Pinz, Director of Innovation and Technology at Eletrobras, stated, “In 2024, Eletrobras launched a program called Eletro.ia with the goal of applying AI at scale across the entire company. Through this program, Eletrobras is leveraging cutting-edge AI and data solutions to unlock efficiencies across our network and better serve our customers throughout Brazil.” This move underscores Eletrobras’ commitment to modernizing its grid infrastructure.
C3 AI Grid Intelligence, built on the C3 Agentic AI Platform, enables real-time fault monitoring and rapid response. The solution identifies alarms, clusters faults, and pinpoints affected equipment and substations, reducing resolution times from minutes or hours to under 10 seconds. Pablo Flores, Executive Manager of Protection, Automation, and Control of Operation Systems at Eletrobras, highlighted its impact: “C3 AI’s ability to support a real-time operations center with an operations-ready platform and end-user focused solutions was core to our decision to partner with C3 AI.” This capability ensures grid stability and enhances service reliability for millions of customers.
In addition to grid monitoring, Eletrobras is leveraging C3 Generative AI to optimize operational reporting. This technology automates routine tasks, allowing operators to focus on high-impact activities. By integrating generative AI, Eletrobras reduces administrative overhead and improves decision-making efficiency, aligning with its goal of enterprise-wide AI adoption. The combination of C3 AI Grid Intelligence and generative AI positions Eletrobras to manage its complex network more effectively.
C3 AI’s collaboration with Eletrobras highlights its role as a leader in enterprise AI for critical infrastructure. Thomas M. Siebel, Chairman and CEO of C3 AI, emphasized, “Global energy expansion and resilience remains a primary company focus for C3 AI. Our work with Eletrobras reinforces C3 AI’s position as the trusted Enterprise AI provider for critical infrastructure and highlights the power of our platform in delivering operational transformation across the global energy sector.” This partnership demonstrates how AI can address rising energy demands and volatility, ensuring reliable power delivery.
Eletrobras’ adoption of C3 AI Grid Intelligence sets a new standard for power utilities, showcasing how AI can enhance grid resilience and operational efficiency. By scaling AI across its network, Eletrobras is better equipped to serve Brazil’s energy needs while paving the way for future-ready infrastructure.
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of large AI transformer models for the enterprise.
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