Gradyent

Gradyent, founded in 2019 by Herve Huisman and Robert Vrancken, provides a software platform to optimize and decarbonize heating and cooling grids. The Rotterdam-based company operates on a B2B model, serving major energy providers across Europe, including Veolia, Shell, Helen, and Uniper, in over 35 cities.

The core of Gradyent's offering is its real-time Digital Twin Platform. This technology creates a digital replica of an entire heating or cooling grid, from production to the end-user. It integrates geographical, weather, and sensor data with physics-based models and artificial intelligence to provide a comprehensive view of the system. The platform allows energy providers to optimize their networks in real time, enhance operational control, and run simulations for future scenarios.

The primary benefits for clients include a reduction in CO2 emissions by up to 10%, lower operational costs, and up to 20% lower capital expenditures (CapEx). The system helps operators make more informed decisions, leading to improved efficiency and reliable energy distribution. For instance, the platform helped one of its investors and clients, Eneco, the largest heat supplier in the Netherlands, to optimize its systems.

Since its inception, Gradyent has seen significant growth, securing a total of $42.5 million over three funding rounds. The company's first funding round was a Seed round in June 2020, followed by a Series A in August 2022, and most recently a ․28 million Series B round in April 2025. This latest funding, led by Blue Earth Capital, is intended to support the expansion of its Digital Twin Platform, grow the team, and accelerate global expansion.

Keywords: Gradyent, digital twin, district heating, district cooling, energy efficiency, AI platform, grid optimization, decarbonization, energy management, smart grid, cleantech, energy software, real-time optimization, CO2 reduction, operational costs, CapEx reduction, Veolia, Shell, Uniper, Eneco, energy transition, sustainable energy, heating networks, cooling systems, physics-based modeling, predictive simulation