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Chronicles

The story behind the story

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Rotterdam-based Gradyent, which lets energy providers optimize their systems by creating digital twins of heating and cooling grids, raised a €28M Series B

Cate Lawrence / Tech.eu :

Tech.eu Cate Lawrence

Context & Ripple Effects

Gradyent’s round extends a run of utility-software funding that includes GridX’s rate-analytics and billing platform and eSmart Systems’ predictive-maintenance software. The common thread is software aimed at improving decisions around energy infrastructure rather than adding physical infrastructure.

Gradyent is differentiated within that coverage by focusing its digital-twin approach on heating and cooling grids, giving the story a specific thermal-network angle rather than a general grid-analytics one.

First-order effects

  • Gradyent adds €28M of Series B capital behind its digital-twin product for energy providers operating heating and cooling grids.
  • Energy providers evaluating thermal-network optimization gain a better-funded specialist vendor alongside broader utility software options.

Second-order effects

  • Utility-software competitors face more pressure to show that their data, analytics, and workflow tools translate into operational decisions for network operators, not just monitoring or reporting.
  • Buyers may increasingly assess thermal-grid optimization alongside adjacent utility tools such as rate analytics and billing software, widening the set of software systems that must interoperate.

Third-order effects

  • If similar funding continues, digital twins could become a more established software layer for planning and operating energy networks, with vendors differentiated by the infrastructure domain they model.
  • That shift could make the allocation of network investment and operating costs more dependent on software-derived capacity and efficiency assessments, an issue connected to tools that identify underused grid capacity.

The trend: Energy-infrastructure software is moving from discrete analytics products toward operational digital models that help network owners optimize constrained assets.