This article overviews 10 new energy analytics solutions. These companies operate in the space of performance optimization, AI-powered energy waste reduction, automated power systems monitoring, energy management systems, and clean energy transition. Each company drives significant progress, showcasing diverse applications of energy analytics in improving efficiency, sustainability, and reliability. Discover how these new energy analytics solutions shape the future of energy management with the latest technology and practical applications.
Continue reading to gain up-to-date and data-driven insights on:
- Profiles of 10 Emerging Energy Analytics Solutions
- How to Scout New Energy Analytics Solutions Easily
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Key Takeaways
Drawing insights from the Big Data & AI-powered StartUs Insights Discovery Platform that provides data on over 4.7+ million emerging companies globally, we explore the evolving landscape of the energy analytics industry. This sector is marked by key trends and a substantial workforce, shaping its future. This article was last updated 5 days ago. If you find any info is missing, let us know! Here are some key insights at a glance:
- Latest Energy Analytics Trends: Some of the major trends impacting the energy analytics industry are AI optimization, real-time monitoring, edge computing, blockchain integration, and predictive analytics.
- Energy Analytics Industry Statistics: The sector comprises 7.4K+ organizations worldwide. Out of these, 1.1K+ new energy analytics companies were founded in the last five years, witnessing 2020 as the average founding year. On average, each of these companies employs about 13 people. Moreover, the average funding received by these new companies per round in the same span is USD 5 million.
- 10 New Energy Analytics Solutions to Watch:
- Amp – Energy KPIs & Metrics Platform
- NexESS Analytics – Energy Storage Optimization
- ToBe Analytics – AI-led Energy Efficiency Enhancement
- Nexus Analytica – Energy Asset Maintenance & Diagnostics
- PrioriAnalytica – ML-based Energy Equipment Monitoring
- BuildINT – Energy Management System
- VOLTQUANT – Grid Network Analysis
- Gaiascope – Energy Trading Analytics
- Enersee – Self-learning Energy Diagnostics
- Ai Exploration – Carbon Capture Sensors & Analytics
Meet 10 out of 1.1K+ Emerging Energy Analytics Solutions
In this section, we spotlight 10 new energy analytics companies offering performance optimization, AI-powered real-time energy data, automated power systems monitoring, clean energy transition, and trading energy analytics. These entities integrate advanced algorithms, AI, and automation technologies. They leverage data analytics, sensor technologies, and real-time monitoring to enhance efficiency, sustainability, and energy management accuracy. Read on to explore many more innovative solutions these companies offer!
Note on Signal Strength
One of the unique metrics we feature for each company is Signal Strength, a proprietary data point generated by our Discovery Platform. It gauges the extent to which a company’s influence has permeated the global ecosystem of startups, scaleups, and emerging companies. This proprietary metric serves as a valuable guidepost for understanding a company’s standing in the broader market landscape.
1. Amp
- Founding Year: 2021
- Employee Range: 2-10
- Location: Dubai
- Signal Strength: Medium Strong
- What they do: Amp provides a data-driven energy analytics platform. Its analytics engine reveals hidden insights for better decision-making by providing equipment-level data. The recommendations platform offers custom suggestions based on performance trends and goals. Users track progress through easy-to-follow key performance indicators (KPIs) and metrics. The efficiency task manager and performance measurement tools provide solutions for monitoring and enhancing energy use. Amp’s fully integrated solution supports system integration, offering real-time asset-level insights. Businesses use this for reduced operational costs, increased efficiency, and sustainability.
2. NexESS Analytics
- Founding Year: 2020
- Employee Range: 2-10
- Location: USA
- Signal Strength: Strong
- What they do: NexESS Analytics offers performance, reliability, and optimization analytics for energy storage systems. The company’s BESSiq platform provides technical asset management with multiple control points and performance metrics. Its depth of discharge (DoD) monitoring allows operators to evaluate and mitigate asset degradation effectively. The platform also offers performance forecasting, warranty compliance, and opportunity identification for revenue enhancement. It offers users visualizations and curated data that support operational decisions and ensure systems operate as designed. BESSiq integrates with existing infrastructure, offering customizable reporting intervals.
3. ToBe Analytics
- Founding Year: 2021
- Employee Range: 2-10
- Location: Italy
- Signal Strength: Strong
- What they do: ToBe Analytics develops SaaS solutions for energy monitoring and management using an API model for third-party platforms. The TOBE AI engine integrates AI algorithms to enhance energy efficiency in commercial buildings and industrial sites. It connects to existing monitoring data, analyzes it, and customizes solutions to specific energy management objectives. The platform includes features like trend analytics for benchmarking, forecasting for demand management, and anomaly detection for maintenance. Additionally, the measurement and verification tools assess the impact of energy conservation measures. Finally, smart reporting generates dynamic reports on historical energy performance.
4. Nexus Analytica
- Founding Year: 2019
- Employee Range: 11-50
- Location: Egypt
- Signal Strength: Very Strong
- What they do: Nexus Analytica provides IoT solutions for the energy and industrial sectors. Its Nexus Monitor platform offers real-time monitoring and AI-powered diagnostics for renewable energy assets and industrial plants. The system delivers immediate feedback on asset conditions and predicts potential failures by integrating various IoT sensor data. Furthermore, AI-based reporting generates detailed analyses and automated reports for selected assets. The secure local servers manage all data storage and handling, decoupled from the cloud. Its early fault detection and downtime reduction contribute to cost reduction and revenue optimization.
5. PrioriAnalytica
- Founding Year: 2021
- Employee Range: 11-50
- Location: Australia
- Signal Strength: Medium Strong
- What they do: PrioriAnalytica provides analytics and machine learning solutions to diagnose and address operational and maintenance issues in the energy sector. The company’s systems monitor and analyze data points from remote equipment, including solar photovoltaic (PV), batteries, and power generation, consumption, and storage. It identifies potential issues before they occur with its pattern-matching algorithms that continuously monitor thousands of assets. The technology interfaces with client asset performance management and work management systems to automate and optimize engineering tasks. This leads to increased production, reduced operational expenditure, and improved safety and operational equipment availability. The system also provides predictive notifications and prescriptive solutions in order to ensure assets remain online and productive. This technology aids energy managers by safeguarding critical site infrastructure.
6. BuildINT
- Founding Year: 2019
- Employee Range: 51-100
- Location: India
- Signal Strength: Very Strong
- What they do: BuildINT provides advanced energy management solutions for optimizing building operations. Its i-Energy Management System monitors and analyzes energy consumption for increased efficiency and sustainability. The system integrates IoT sensors to gather real-time data on energy usage across various parameters. Its advanced analytics and machine learning algorithms process this data to identify patterns, predict maintenance needs, and optimize performance. It thus enables reduced operational costs, improved energy efficiency, and minimized downtime.
7. VOLTQUANT
- Founding Year: 2023
- Employee Range: 2-10
- Location: UK
- Signal Strength: Strong
- What they do: VOLTQUANT streamlines grid connection processes for energy projects. Its Prometheus platform optimizes project locations using the latest data and machine learning models. The insight platform aggregates data from multiple sources, analyzing land plots for energy projects and displaying results in an accessible format. It offers predictive notifications, risk assessments, and detailed analysis of grid networks. It supports energy developers by enhancing decision-making for solar, wind, EV infrastructure, and battery storage projects. These data-driven insights reduce operational costs and improve project efficiency.
8. Gaiascope
- Founding Year: 2019
- Employee Range: 2-10
- Location: USA
- Signal Strength: Very Strong
- What they do: Gaiascope provides energy trading solutions through its Terra platform, enhancing the profitability of renewable energy asset owners. Terra integrates AI and physics-based grid modeling to provide software for grid-wide forecasting, insights, and bid recommendations. The platform accumulates and analyzes data from multiple sources, generating probabilistic forecasts for various grid points. The firm’s customized strategies and risk policies optimize bid recommendations and market insights for clients. The platform offers real-time monitoring, predictive analysis, congestion analysis, and price adder calculation.
9. Enersee
- Founding Year: 2021
- Employee Range: 11-50
- Location: Belgium
- Signal Strength: Very Strong
- What they do: Enersee provides AI-driven energy diagnostics to optimize energy utilization for energy managers. Its platform integrates with multiple energy management systems (EMS) and data platforms to offer real-time insights to detect issues and identify improvement areas. The self-learning technology provides continuous automatic energy surveillance, accurate fault detection, and significant time savings. Enersee’s API facilitates integration, enhancing existing EMS capabilities. The platform supports advanced measurement and verification, zero-configuration anomaly detection, and real-time feedback on optimization projects. Facility managers use this for actionable insights, improved maintenance prioritization, and portfolio-wide risk mitigation.
10. Ai Exploration
- Founding Year: 2019
- Employee Range: 2-10
- Location: UK
- Signal Strength: Very Strong
- What they do: Ai Exploration provides energy analytics through its Aether sensor system for carbon capture and storage (CCS) facilities. This sensor captures real-time data on water concentrations in the CO2 emissions stream. The system prevents corrosive conditions by analyzing these moisture levels, which could lead to infrastructure damage. It offers operators instant alerts when moisture thresholds are breached, ensuring proactive maintenance and operational safety. This technology secures the transport of captured CO2 and also enhances analytical capabilities within the CCS process. Its other sensor Poseidon measures water-cut and maintains accuracy regardless of water chemistry or salinity. Ai Exploration thus benefits those integrating CCS within their operations, such as energy and oil & gas, as these industries heavily rely on CCS to reduce carbon footprints.
Quick Tip to Find New Energy Analytics Solutions
Utilizing a SaaS platform like the Discovery Platform for identifying new energy analytics solutions provides significant benefits compared to traditional scouting methods:
- Streamlined Efficiency: The Discovery Platform offers advanced tools that streamline the scouting process. It replaces hours of your conventional desk research, saving time and resources in identifying energy analytics innovations.
- Access to Real-time Insights: Gain a competitive edge with up-to-date information on the latest trends in the energy analytics industry. The platform keeps you informed with near real-time updates on emerging energy analytics solutions and news, enabling you to make swift and informed decisions.
- Tailored Exploration: Customize your search to focus on specific niches within the energy analytics sector, such as self-learning energy diagnostics, trading energy analytics, or clean energy transition. The platform’s diverse filtering options allow you to target your scouting efforts precisely, ensuring that you find the most relevant and groundbreaking companies in the field.
Ready to Explore All New Energy Analytics Solutions?
We’ve explored the dynamic landscape of the energy analytics industry, examining the latest trends and spotlighting exceptional companies driving innovation. To dive deeper, download our free Energy Report or schedule a demo of the Discovery Platform for a customized exploration of these groundbreaking developments. Are you an insider in the startup or tech industry? We’d love for you to contribute to our content.
