HITACHI LAUNCHES HMAX ENERGY, A PIONEERING AI-POWERED SERVICE AND SOLUTIONS SUITE FOR CRITICAL ENERGY INFRASTRUCTURE

 

 

Hitachi, Ltd. (TSE:6501, “Hitachi”) – Hitachi Energy, a global leader in electrification, today announced the launch of HMAX Energy, an AI-powered suite of services and solutions designed to safeguard critical energy infrastructure while enabling operational efficiency. Delivered through trusted customer partnerships, HMAX Energy optimizes planning, prediction, and prevention – strengthening energy security and resilience.

 

The electrification of many industries and the rise of new power-intensive sectors are accelerating the need to expand and modernize the power grid – the one trillion-dollar investment of our time1. In most countries, much of the grid infrastructure has already exceeded its expected lifetime and was not designed to meet today’s demands2. The sector also faces a major constraint: supply chains for grid equipment are under severe pressure. As a result, increasing the availability and extending the lifetime of existing assets has never been more critical, making partnerships more important than ever.

 

To meet these demands, Hitachi Energy has launched HMAX Energy – the latest addition to Hitachi’s HMAX portfolio of AI solutions for social infrastructure. HMAX by Hitachi spans Energy, Mobility, and Industry, and is a realization of its Lumada 3.0 strategy.

 

HMAX Energy combines deep-domain expertise and leading AI capabilities across the entire value chain, covering primary energy infrastructure equipment from products, such as switchgear and transformers, to entire substations as well as complex HVDC systems and power quality solutions. Designed to be flexible to customers’ technology choices, HMAX Energy’s modular and secure offering is structured across three pillars:

 

• Plan – Optimizing asset lifecycle and operational efficiency with data-driven insights: Enabling operations and maintenance teams to make informed decisions and plans based on AI-powered data model recommendations.

• Predict – Detecting issues early with asset monitoring: Analyzing connected assets and environmental data to identify early signs of wear and flag unusual behavior.

• Prevent – Acting proactively to reduce risk and extend asset life:

 

Regular health checks and AI-enhanced performance and simulation models, supported by expert field teams, maximizing the remaining life of critical equipment.

 

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