Building software to automate and optimize boiler room operations across multi-family housing
Green Fusion builds automation software for building heating systems, targeting the housing sector across Germany and France. The stack—Python, C++, embedded Linux, machine learning (MLflow, CasADi, Gurobi), and AWS—reveals a hardware-software hybrid play: they're not just digitizing control systems, but embedding optimization algorithms directly into HVAC operations. Active projects span IoT co-design, heating algorithms, and EMS rollout, while pain points cluster around scaling energy-efficiency software nationally and reducing friction in the French market—suggesting a product-market fit problem in Germany that requires operational hardening before geographic expansion.
Green Fusion operates a software platform for automating and optimizing boiler room operations in multi-family residential buildings. Founded in 2021, the company is based in Hohen Neuendorf, Brandenburg, and serves the German and French housing sectors. The product combines system analysis, semi-automated or fully automated operations management, and continuous monitoring to reduce energy consumption, emissions, and operating costs. The platform targets both conventional heating systems and complex new energy systems, with stated goals around enabling a transition to regenerative infrastructure. The team is mid-sized (11–50 employees) and engineering-forward, with active development in IoT hardware integration, optimization algorithms, customer analytics, and market expansion.
Python, C++, Embedded Linux, MLflow, Gurobi, CasADi (optimization solvers), Docker, AWS, HubSpot, Webflow. Also hardware layers: ARM, Bluetooth Low Energy, WiFi, I2C.
Germany and France. Active expansion into the French market is listed as a priority, with friction reduction in that region noted as a current challenge.
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