Electro Industry

Spanish startup based in Spain, operating in the field of clean energy technology and software development. It was founded to address a growing inefficiency in the commercial and industrial energy sector: the underperformance of battery energy storage systems (systems that store electricity generated by solar panels or drawn from the grid for later use). As the adoption of solar energy and battery storage grows across Europe, more commercial and industrial facilities, including factories, logistics centres, hospitals and office buildings, are investing in these systems to reduce energy costs and increase their use of renewable energy. However, the software that manages these batteries today is largely rule-based and static. It cannot anticipate future conditions or adapt dynamically to fluctuations in electricity market prices, changes in grid signals, or shifts in the building's own energy consumption. As a result, a significant share of the economic and environmental value of these installations goes unrealised. They have developed an artificial intelligence-powered energy management system that connects to existing battery storage hardware and optimises its operation on a forward-looking basis. Rather than reacting to current conditions, the system uses machine learning to generate site-specific forecasts of solar energy generation and electricity consumption for each installation. These forecasts are combined with real-time electricity market prices and grid data and fed into a proprietary optimisation algorithm that calculates the optimal schedule for all inverters and batteries in the installation hours in advance, coordinating multiple devices to work towards a common energy objective. The software is designed to handle installations with several inverters and battery units simultaneously, ensuring that the full storage capacity of the site is used in a coordinated and efficient way. The software is compatible with the most widely deployed battery storage hardware brands in the European market and communicates through standard industry protocols, without requiring custom infrastructure. Their expertise lies in the combination of energy systems engineering, forecasting models and applied artificial intelligence. Pilot deployments are currently underway in commercial and industrial facilities in Spain. Advantages and innovations: Most energy management systems currently available rely on fixed rules, static schedules, and predefined thresholds for functions such as peak shaving or energy arbitrage. These systems usually manage each inverter or battery independently and cannot anticipate future conditions, limiting overall efficiency and leaving significant value untapped. They offer a predictive, AI-driven alternative. For every installation, the platform develops site-specific forecasting models for solar generation and electricity consumption using historical operational data. These forecasts are combined with electricity market prices and grid signals and processed through a proprietary optimisation algorithm that calculates the ideal coordinated operating schedule for all inverters and batteries hours in advance. The system continuously updates decisions as new data becomes available. Key advantages include predictive optimisation, multi-device coordination, rapid deployment through standard hardware integration, strong industry partnerships, and reduced carbon emissions by maximising local solar usage and minimising grid dependence during high-emission periods. Expected role of a partner: Two distinct partner profiles are being considered, each with a different role in the collaboration. The first is a technology partner, ideally a battery storage hardware manufacturer, an energy monitoring platform provider, or a company developing complementary software for the energy sector. The expected role of this partner would be to facilitate technical integration between their systems and the optimisation software described in this profile. This would involve sharing communication protocols and technical documentation, providing test hardware or sandbox environments for integration development, and collaborating on validation of the integrated solution in real or simulated installations. Given that the software is designed to coordinate multiple inverters and batteries simultaneously, technology partners with multi-device architectures or fleet management capabilities are particularly relevant. The desired outcome is a certified or documented compatibility between both systems, allowing joint customers to deploy the combined solution without friction. The second is a commercial partner, ideally an energy service company, a solar and battery storage installer, a system integrator, or a distributor active in the renewable energy sector in European markets. The expected role of this partner would be to incorporate the optimisation software into their existing service portfolio and offer it to their end clients — commercial and industrial facilities with battery storage installations, particularly those with multiple inverters and battery units requiring coordinated management. Concretely, this would involve identifying suitable client sites, supporting the deployment and commissioning of the software at those sites, and acting as the primary point of contact with the end client during and after installation. The collaboration would allow the commercial partner to differentiate their offering with an advanced optimisation layer, while the software provider gains market access and local presence in new geographies without requiring a direct sales force in each country. In both cases, the collaboration is envisaged as a mid to long term partnership rather than a one-off transaction. Priority geographies for commercial partnerships include Spain, Germany, Italy, France and Portugal, given the size and maturity of their commercial and industrial solar and storage markets. Technology partners are sought across Europe regardless of geography.