flexality

flexality

Offers a data-driven solution called fleXcool™ to optimize energy costs and reduce CO2 emissions for industrial refrigeration systems.

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Flexality GmbH, founded in 2022 by Dyke Wilke, Sören Eilenberger, Leon Pichotka, and Justus Hinken, is a Bremen-based company focused on energy optimization for industrial refrigeration systems. The founding was driven by a desire to merge economic viability with sustainability, aiming to firmly embed climate protection within industrial processes. Co-founder Dyke Wilke's background in process engineering and his master's thesis on energy flexibilization for refrigeration systems, coupled with experience in data analysis and energy transition concepts in Africa, laid the conceptual groundwork for the company. The other founders contribute expertise in data science, sustainable energy technology, logistics, and organizational development.

The company's core business revolves around a Software-as-a-Service (SaaS) model, providing data-driven power optimization for industrial facilities, particularly cold storage warehouses. The business targets the food industry and operators of deep-freeze warehouses, a market comprising over 750 such facilities in Germany alone. Revenue is generated through this SaaS model, where clients benefit from the cost savings achieved. Flexality received early-stage support through the "BRE-Up" grant from Starthaus Bremen, which was instrumental in the further development of their product. The company secured $1.04M in an Angel funding round on February 13, 2025, with investors including Buhlmann Rohr-Fittings-Stahlhandel.

Flexality's main product is fleXcool™, an AI-based software solution designed to transform energy-intensive cold storage facilities into efficient energy storage systems. The platform leverages novel algorithms and operational data, such as warehouse movements, to predict cooling requirements. This data is combined with electricity price forecasts to determine the most cost-effective times to consume power, effectively shifting energy use to periods of lower prices and higher availability of renewable energy. This process can reduce energy costs by up to 20% and CO2 emissions by over 10% without requiring significant hardware changes or construction. The system also assists clients with reporting obligations, like Corporate Social Responsibility (CSR) and greenhouse gas emissions, by providing easy access to relevant data.

Keywords: energy optimization, cold storage, refrigeration systems, SaaS, energy efficiency, demand response, AI-powered software, electricity cost reduction, CO2 emissions reduction, industrial energy management, data-driven optimization, fleXcool, energy flexibility, smart grid, sustainable energy, load shifting, predictive analytics, energy management systems, process industry, clean tech

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