Top 50 Ai For Energy

The startup develops data-driven energy management software that utilizes artificial intelligence for asset performance management, predictive maintenance, and energy forecasting. This platform enhances facility environments by providing actionable insights that enable businesses to optimize energy utilization and reduce operational costs.

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.

Heliotec offers an AI-driven platform that optimizes commercial and industrial energy consumption for immediate cost savings and long-term price stability. Its machine learning algorithms continuously monitor and adjust energy usage and procurement, enhancing asset performance and operational resilience without requiring upfront capital investment.

Hub Energy utilizes AI-based technology and international trading expertise to provide energy trading, procurement, and portfolio management solutions for power, gas, oil, and coal markets. The company addresses the need for reliable and scalable energy solutions, enabling clients to optimize their energy assets and navigate market complexities effectively.

SPARK builds AI-powered clean energy systems for homes that integrate solar, battery storage, EV charging, and heat pumps. Its platform optimizes energy generation and distribution, creating interactive networks for a stable, 24/7 renewable energy supply.

NX Technologies develops AI and big data-based solutions for energy optimization, focusing on sustainable energy management and carbon emission reduction. The company addresses the inefficiencies in energy consumption and greenhouse gas emissions by enhancing the use of eco-friendly energy sources and improving overall energy efficiency.

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.

Provides AI-driven energy portfolio management and optimization tools for developers, corporates, and power companies to navigate power volatility and achieve sustainability targets. By integrating advanced modeling of power systems with machine learning, it enables faster decision-making, risk balancing, and portfolio alignment with clean energy goals.

Edo provides AI-driven technology to optimize energy consumption in commercial buildings by aggregating distributed energy resources into virtual power plants. This approach enhances grid reliability while reducing operational costs and carbon emissions for utilities and their customers.

The startup offers a digital simulation platform that utilizes predictive algorithms and artificial intelligence to create a three-dimensional, physics-enabled model for energy grids and infrastructure networks. This technology enables utility companies to visualize and assess the impact of various scenarios, such as storms or wildfires, enhancing their preparedness for both predictable and unexpected challenges.

enSights offers a centralized platform that utilizes AI and machine learning algorithms for real-time monitoring and optimization of renewable energy assets, including solar, storage, and EV charging systems. By providing actionable insights and automated maintenance management, enSights enhances operational efficiency and reduces costs for energy asset managers.

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.

Tensor Energy provides a cloud operations platform that utilizes AI to optimize charging and discharging schedules for renewable energy assets, enhancing operational efficiency and profitability. The platform integrates data from various sources, enabling streamlined management of renewable energy generation and storage while minimizing risks and costs.

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.

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.

Stealth startup working to revolutionize clean energy.

Powerline develops AI systems for real-time monitoring and optimization of energy assets, enhancing operational efficiency in power markets. The technology reduces emissions by improving asset performance and facilitating compliance with environmental regulations.

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.

EMMA is an energy management platform that utilizes artificial intelligence to analyze consumption data and provide real-time alerts and personalized recommendations. The solution enables companies to reduce energy usage and carbon emissions by 5% to 20%, optimizing operational efficiency and resource utilization.

Presify.ai offers an AI-driven analytics platform for the energy sector, providing advanced forecasting for electricity load, generation, and market prices. The platform also delivers anomaly detection for power plants and predictive maintenance for renewable assets to improve operational efficiency and asset reliability.

Energsoft provides a B2B platform that utilizes AI to analyze and predict battery performance and energy storage capabilities. The software enhances battery efficiency and lifespan, enabling businesses to optimize their energy management and reduce operational costs.

The startup offers an energy management platform that utilizes artificial intelligence for real-time control of major electrical loads, including heat pumps, air conditioning, and solar systems. This technology enables property managers to minimize peak demand and optimize energy consumption, leading to significant cost savings and improved operational efficiency.

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.

ElectrifAI provides an AI-powered platform that monitors energy usage through IoT devices. This allows businesses to gain insights into their energy consumption patterns and optimize energy efficiency.

PowerLabs offers Pai, an intelligent energy management platform that utilizes real-time pattern recognition and AI to optimize power supply sources for businesses. By accurately predicting costs and enabling automated switching between energy sources, Pai reduces operational expenses and ensures uninterrupted power supply, addressing the challenges of rising energy costs and grid reliability.

Pado offers an AI-powered orchestration platform that optimizes data center energy consumption. It uses predictive analytics and real-time power adjustments to reduce operational costs and ensure reliable power distribution for high-density workloads.

Enspi provides a Virtual Power Plant (VPP) platform that integrates renewable energy sources and optimizes energy consumption through AI-driven asset scheduling, enabling businesses to participate in demand response markets. This solution addresses energy insecurity in underserved communities while reducing carbon emissions and lowering operational costs for commercial and industrial customers.

This company provides solutions for businesses to manage their energy transition, simplifying the process of transforming their energy systems. They empower companies to quickly and easily advance the restructuring of their energy infrastructure.

Nista.io offers a platform that utilizes AI-driven analytics to convert energy data into actionable insights, enabling companies to optimize energy consumption and identify cost-saving opportunities. The solution addresses challenges in energy management by ensuring compliance with legal requirements and enhancing sustainability through precise tracking of energy performance metrics.

The startup provides an adaptive energy solution that utilizes real-time data analytics and machine learning algorithms to optimize energy consumption across various sectors. This technology addresses the inefficiencies in energy usage, enabling businesses to reduce costs and minimize their carbon footprint.

QiO Technologies develops AI-driven software solutions that optimize energy efficiency in data centers and industrial facilities, utilizing real-time analytics to reduce greenhouse gas emissions and operational costs. Their ServerOptix™ and Foresight Platform enhance energy management and predictive maintenance, enabling organizations to meet ESG compliance and lower their carbon footprints.

RIZM provides an algorithmic platform that integrates production, energy procurement, and infrastructure data to optimize energy systems. This enables businesses to make holistic decisions regarding energy procurement, operations, and production, leading to synergistic efficiencies.

Veos Digital develops artificial intelligence algorithms for energy consumption analysis and management, enabling users to optimize their energy usage and costs. The company's technology facilitates energy disaggregation and anomaly detection, supporting the transition to sustainable energy solutions.

Meggitt offers an AI-driven platform for the comprehensive management of renewable energy assets, enhancing operational efficiency and asset lifespan. Their solution integrates real-time monitoring with advanced technical asset management and performance analysis to optimize energy generation and minimize downtime.

This startup specializes in embedded AI technology that enhances the efficiency of electronic devices by utilizing a patent-pending variational auto-encoding neural network, eliminating the need for traditional power supplies. By integrating with existing smart home systems, their solution reduces electricity consumption while maintaining full functionality across various consumer and commercial devices.

The company’s platform utilizes artificial intelligence to monitor individual lamp statuses and adjust brightness based on real-time data, enabling precise control of energy consumption. This technology helps users reduce energy usage and lower carbon dioxide emissions from lighting systems.

The startup develops AI-driven data analytics and simulation tools for energy companies to navigate fluctuations in energy supply and demand. By providing precise forecasting and risk assessment, it enables clients to optimize their operations and reduce financial exposure in a volatile market.

Clear Current AI provides an AI-driven platform that enhances transparency in energy cost management and portfolio oversight for large energy consumers. By simplifying data access and analysis, the platform enables stakeholders to efficiently predict and audit energy usage without the complexity of extensive documentation or spreadsheets.

ATO Energy provides a real-time energy management tool that utilizes dynamic ratings and AI to optimize asset performance and predict energy needs based on historical data, seasonality, and weather forecasts. This technology enables energy operators, such as solar panel owners and fleet managers, to secure flexible energy contracts while minimizing reliance on costly backup solutions.

Nimble Energy utilizes AI algorithms to analyze energy data in real-time, enabling building operators to identify inefficiencies and optimize energy management. The platform addresses the challenge of high utility costs and energy waste in commercial buildings, which can exceed 30% annually.

This startup uses AI and cloud integration to optimize the energy efficiency of electrical devices. Their platform analyzes device performance to improve energy consumption and enhance user experience.

Causal Dynamics offers AI, blockchain, and data-driven solutions to optimize energy management and retail operations. Their advanced analytics and blockchain integration enhance efficiency and transparency for energy producers, distributors, and retailers.

The startup develops an HVAC energy efficiency system that employs artificial intelligence, the Internet of Things, and machine learning algorithms to optimize heating and cooling in commercial buildings. This technology enables offices to reduce energy consumption and lower electricity costs while maintaining individual temperature preferences for occupants throughout the day.

The startup develops an artificial intelligence platform that enhances the functionality of aging electrical infrastructure to meet the demands of a transitioning energy landscape. By enabling stakeholders to efficiently integrate renewable energy sources, the platform facilitates a faster shift towards achieving net-zero carbon emissions.