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AI-native energy management: new levels of speed and scale in energy optimisation

Energy optimisation across building portfolios has long been held back by three persistent barriers: data access, analysis and verification. While utilities, smart meters and digital platforms have increased data availability, translating this information into reliable, scalable action continues to challenge both public and private organisations.

Recent advances in AI and data integration are enabling a new generation of energy management systems that operate at portfolio scale without additional hardware. By making use of existing utility and meter data, these systems can automatically identify energy waste, prioritise actions and continuously verify outcomes against dynamic baselines.

In this session, Henrik Brink (CEO) and Benedetto Grillone (Lead AI Engineer) from Ento will discuss how AI-native approaches are transforming the speed and scale of energy optimisation.

‘Value in Energy Data’ is a series of seminars hosted by Dr. Stephen Haben, a Digital and Data Consultant, and the Data Systems team at Energy Systems Catapult. These seminars aim to help bridge the gap between academia, industry and policy within the energy sector, a key objective of Energy Systems Catapult.

AI-native energy management: new levels of speed and scale in energy optimisation

Calendar

Wednesday 26 November 2025

Clock

12pm

Map Pin

Online

Duration: 1 Hr

Register now

Speakers

Henrik Brink is the CEO and founder of Ento, a startup with a mission to increase the speed and scale of energy optimisation by adding a new level of automation and intelligence to energy management with AI.

Henrik previously co-founded Wise.io, a Silicon Valley machine learning startup, acquired by General Electric in 2016 to deploy applied machine learning across the various business units of one of the World’s largest industrial companies. Prior to that, he worked as a machine learning researcher in time-series astronomy at UC Berkeley, and holds a degree in astrophysics from the University of Copenhagen.

Benedetto Grillone is a Lead AI Engineer at Ento, an AI-powered energy management platform helping organizations reduce energy waste, verify savings, and plan decarbonization strategies. He holds a PhD focused on applying machine learning to Measurement & Verification (M&V) of energy savings, with research spanning counterfactual modeling, uncertainty quantification, and large-scale building analytics.
At Ento, Benedetto has led the development of AI-driven modules for anomaly detection, root-cause analysis, and IPMVP-compliant savings verification, used today across thousands of buildings in Europe.

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Want to know more?

Find out more about how Energy Systems Catapult can help you and your teams

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