Top 50 Ai For Energy in Europe

The startup develops an AI-powered platform that employs machine learning algorithms to analyze historical energy consumption data in factories. By predicting future energy use, the software enables manufacturers to optimize production processes, thereby reducing energy waste and lowering operational costs.

The startup provides AI-driven energy trading services that optimize transactions in global short-term power markets. By utilizing advanced algorithms, the platform enhances market efficiency and enables participants to maximize revenue from fluctuating energy prices.

The startup operates an energy trading platform that utilizes automation, quantitative analysis, and artificial intelligence to facilitate the procurement of electricity and natural gas from wholesalers and suppliers. By providing deep insights into energy markets, the platform enables clients to optimize their purchasing strategies and support the transition to green energy.

The startup offers an AI-driven optimization and prediction system that enhances energy production and distribution for district energy providers by utilizing advanced algorithms for real-time forecasting and operational planning. This technology reduces operational costs and carbon emissions while improving the integration of renewable energy sources.

Delfos provides an AI-driven platform for the energy sector that utilizes over 100 predictive models to monitor and optimize the performance of renewable energy assets, including wind, solar, and hydro power plants. The technology enables real-time failure prediction and performance anomaly detection, reducing operational costs and enhancing asset reliability for energy companies worldwide.

The startup operates an energy trades analytics platform that utilizes artificial intelligence to analyze and interpret data from multiple sources, providing insights into global waterborne energy trade flows. This enables energy and shipping companies to make informed trading decisions based on historical, current, and predictive data, enhancing their competitive edge.

The startup develops AI-based software that integrates building management system data with external datasets, such as energy provider information and weather forecasts, to create digital twins of buildings. This technology enables clients to accurately predict energy costs and optimize heating, cooling, and ventilation, resulting in significant cost savings.

FUERGY provides Energy-as-a-Service (EaaS) through its AI-powered smart battery storage system, brAIn, which optimizes energy consumption and reduces electricity costs for consumers and suppliers. The company’s software platform, mosAIc, enables automated energy management, enhancing resource efficiency and minimizing carbon emissions across various energy applications.

Preflet Energy AI Platform utilizes machine learning to analyze multidimensional data, including smart meter readings and climate information, to generate actionable insights for improving energy efficiency in buildings. This technology enables property managers to reduce energy costs and carbon emissions without the need for significant hardware investments or technical expertise.

DABBEL provides an AI-driven Building Management System that autonomously optimizes HVAC, lighting, and energy systems using machine learning algorithms to enhance energy efficiency and lower operational costs. This technology reduces the need for manual oversight, improving system performance and addressing inefficiencies in traditional building management practices.

The startup develops cloud-based software that utilizes artificial intelligence to analyze and optimize industrial energy management systems in real-time. By enabling data centers, manufacturing plants, and utilities to model and visualize their energy assets, the software aims to reduce CO2 emissions and lower energy costs.

The startup develops smart meters and an energy management system that enables users to optimize electricity consumption, production, and trading. By replacing outdated analog infrastructure, the technology provides businesses with precise control over their energy usage, leading to reduced costs and improved efficiency.

Tibo Energy provides AI-powered software that creates a Digital Twin of energy networks to optimize asset management and prevent congestion within grid connections. This technology enables businesses to maximize renewable energy usage, reduce operational costs, and align with sustainability goals by analyzing peak demand patterns and load balancing.

The startup operates an energy platform that utilizes machine learning algorithms to optimize participation in balance markets, enabling efficient monetization of renewable energy resources. By automating the integration of these resources, the platform facilitates their entry into the energy grid, promoting a more sustainable energy ecosystem.

Companion.energy provides a software solution that integrates operational and market data to optimize energy consumption for industrial companies, enabling real-time adjustments based on predictive analytics. This approach allows users to achieve energy cost savings of 10-30% while increasing their reliance on renewable energy sources.

Eddy Grid utilizes advanced algorithms to optimize energy consumption, generation, and storage for businesses, enabling efficient peak shaving and load balancing. By significantly reducing the payback period for battery investments, the company addresses energy shortages and maximizes the financial returns from renewable energy sources.

Onu.energy provides a data-driven platform for automating energy procurement and management, specifically designed for medium-sized enterprises transitioning to green energy. By streamlining processes such as budgeting, hedging, and consumption, the platform enables clients to achieve annual cost savings of 25% while facilitating the reduction of fossil fuel reliance.

Accenta develops an energy management system that combines geo-storage and artificial intelligence to reduce heating and cooling consumption by up to 80% and carbon emissions by 95%, all without upfront investment. Their service model guarantees energy savings and simplifies compliance with regulatory standards, while providing real-time monitoring of energy usage and savings.

Provides a B2B energy management platform that combines real-time monitoring, AI-driven analytics, and automated procurement strategies to reduce energy costs and CO₂ emissions. The ecoplanet Cockpit and Ember AI enable businesses to identify consumption anomalies, optimize purchasing, and ensure compliance with ISO 50001 standards, delivering measurable savings and operational efficiency.

The startup operates an IoT-enabled platform that collects and analyzes building energy data to optimize energy consumption in real estate operations. By providing actionable insights, the platform helps real estate and energy companies reduce carbon emissions and achieve significant energy and cost savings without requiring structural changes.

Enlitia provides an asset performance monitoring platform that utilizes predictive analytics and a proprietary algorithm ecosystem to optimize the efficiency of renewable energy assets. By analyzing centralized asset data, the platform enhances energy availability and maximizes revenue for operators in the energy sector.

avoltra offers an AI-powered platform that optimizes industrial energy procurement by analyzing real-time market data and providing actionable recommendations. The system helps companies reduce costs, mitigate risks, and manage complex energy portfolios through predictive analytics and dynamic control.

MarkeDroid provides an AI-driven energy management platform that connects household energy-producing assets to a virtual power plant network, optimizing the buying, selling, or storing of energy based on real-time market prices and consumption forecasts. This technology enables homeowners to reduce energy costs by up to 50% and maximize returns on renewable energy investments throughout the year.

Sympower monetizes energy flexibility for industrial businesses and renewable energy owners by aggregating and selling this capacity across European energy markets through its AI-powered platform. This approach enables clients to reduce energy costs and generate new revenue streams by optimizing their demand response and battery energy storage systems.

Provides an AI-driven energy management platform that optimizes industrial electricity consumption by analyzing facility data, weather patterns, and market prices to create automated consumption schedules. This reduces energy costs by up to 20% and CO₂ emissions by up to 30%, while enabling better utilization of renewable energy and improving operational resilience.

The startup offers an environmental intelligence platform that utilizes advanced asset observation technology to provide precise insights on energy-transition risks and climate impacts. This platform enables decision-makers in government, corporate, and investment sectors to evaluate the effects of energy and industrial activities on climate, facilitating informed and timely decisions to mitigate greenhouse gas emissions and protect ecosystems.

measurable.energy provides a machine learning-powered platform that utilizes smart plug sockets to monitor and control energy consumption in buildings, automatically turning off devices to eliminate energy waste. This technology reduces electricity costs by at least 20% and helps users minimize their carbon emissions, supporting their net zero goals.

Hive Power's FLEXO AI engine optimizes energy management for connected devices on the grid, including electric vehicle (EV) charging and energy communities. By utilizing data-driven algorithms, it enhances demand response and local energy consumption, enabling significant cost savings and improved grid efficiency.

The startup offers an energy-saving platform that enables businesses to benchmark and compare renewable energy tariffs directly from suppliers, eliminating hidden fees and opaque pricing. By facilitating direct transactions with energy providers, the platform empowers companies to optimize their energy costs and enhance their purchasing power.

Powervault designs and manufactures intelligent energy storage systems that capture solar energy and low-cost electricity from the grid, enabling users to reduce their electricity bills by up to 90%. Their SMARTSTOR™ energy management software utilizes AI to optimize energy usage, allowing households and businesses to store and utilize energy efficiently during peak demand times.

Provides AI-driven power forecasting and short-term trade optimization solutions for renewable energy companies, processing 1TB of weather and market data daily to generate accurate forecasts and trade signals. Reduces balancing costs by up to 35% and maximizes trade profits through an integrated platform that combines generation forecasting, price forecasting, and smart bidding strategies.

Enline utilizes sensorless Digital Twin technology and AI-driven analytics to optimize energy asset management across power generation, transmission, and distribution systems. This approach enhances operational efficiency and sustainability while eliminating the need for additional sensors, resulting in significant reductions in energy losses and CO2 emissions.

Urbio provides a geospatial data management platform that centralizes and analyzes energy data from various sources, enabling utilities to identify optimal locations for solar PV installations and CO₂ hotspots. By automating energy system design with machine learning, Urbio significantly reduces project planning time, allowing users to complete in five minutes what traditionally takes five days.

Kuafu provides an AI-powered platform that orchestrates distributed energy resources at the grid edge. It offers real-time visibility and predictive control to optimize grid operations, enabling stakeholders to unlock new revenue streams and support decarbonization efforts.

Modularity Grid develops AI-driven software tools to optimize the management and deployment of renewable energy infrastructure, including microgrids and battery systems. The company addresses high energy costs and emissions for homes, businesses, and EV charging by enhancing the efficiency of renewable energy asset utilization.

Modularity Grid develops AI-driven software tools to optimize the management and deployment of renewable energy infrastructure, including microgrids and battery systems. The company addresses high energy costs and emissions for homes, businesses, and EV charging by enhancing the efficiency of renewable energy asset utilization.

Intelligent Core offers autonomous AI solutions that optimize complex operations and reduce costs for enterprises in energy, manufacturing, and agritech. Their CORE™ technology provides real-time insights and adaptive decision-making through predictive and agentic AI, enabling self-optimizing operations.

The startup develops AI-driven decarbonization technology that enables energy-intensive industries to optimize their operations for reduced emissions and improved efficiency of heat exchange equipment. By facilitating the digital transformation of traditional business-to-business services, the company helps high-emission sectors achieve sustainable practices while maintaining profitability.

Qubit Energy is developing QubitOS, an energy operating system that integrates microservices for optimization, forecasting, and asset management to enhance the efficiency of Virtual Power Plants. Their first product, QubitLink, is an AI-driven energy optimization solution for buildings that enables more efficient energy usage and supports sustainability efforts.

Terion develops AI-powered software that optimizes real-time energy consumption in buildings by aligning usage with renewable energy availability, addressing the impending strain on grid infrastructure as electricity demand rises. By integrating with existing energy management systems, Terion enables building managers to reduce energy costs and enhance ESG performance without the need for new platforms.

Powerchainger offers an AI-powered platform for energy companies to improve consumer engagement and optimize energy usage. Leveraging NILM technology and behavioral science, it provides personalized insights and actionable data to encourage load shifting and enhance grid flexibility.

Qurrent's platform connects and optimizes energy resources, such as batteries and solar parks, through IoT technology and machine learning algorithms to enhance their participation in energy markets. This enables a more efficient integration of renewable energy sources into the grid, addressing the need for flexibility in an evolving energy system.

AIoTCloud provides a smart energy management platform that utilizes real-time monitoring, advanced analytics, and IoT integration to optimize energy consumption across multiple locations. This solution enables businesses to reduce operational costs and minimize their environmental impact by identifying inefficiencies and automating energy flow management.

StellarBlue develops software solutions for the energy sector, utilizing data analytics, market simulation, and optimization tools to enhance decision-making and operational efficiency. Their technology addresses the need for accurate forecasting and resource management, enabling clients to navigate the complexities of energy markets effectively.

Ravenwits utilizes deep learning algorithms to provide precise forecasts for renewable energy production, enabling energy companies to optimize their output and financial returns. By delivering reliable predictions, Ravenwits addresses the challenge of managing variable energy sources, ensuring efficient energy management and enhanced profitability.

The startup provides customized rooftop data analytics using artificial intelligence to enhance the energy efficiency of buildings. By integrating commercially available data from multiple aerospace providers, it enables property owners to optimize energy consumption and reduce operational costs.

The startup develops an artificial neural network technology to optimize proprietary trading in short-cycle physical markets, specifically targeting international power markets. By enhancing energy production balancing, the company helps consumers transition to low-carbon energy solutions while reducing operational costs.

The startup provides AI-driven energy trading strategies that optimize resource utilization in volatile energy markets. By employing advanced optimization technologies, it enables clients to enhance profitability and effectively respond to market fluctuations.

The startup offers a cloud-based energy efficiency platform that utilizes artificial intelligence to optimize the selection of external energy sources for infrastructure management. This technology enables network operators to automatically reduce energy costs while minimizing environmental impact.

dnergy offers the dEEP program, which utilizes AI analytics and dedicated energy management to enhance energy efficiency and ensure compliance for asset and facility managers in commercial real estate. By systematically mapping current energy usage and implementing targeted improvements, dnergy helps reduce CO2 emissions and lower energy costs across building portfolios.