Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the energy industry. This time, you get to discover five hand-picked machine learning startups impacting the energy sector.
Out of 353, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting the Energy Sector
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 353 exemplary startups & scaleups we analyzed for this research. Further, it highlights five energy startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 348 machine learning solutions for energy companies, get in touch with us.
Safion facilitates Battery Quality Assessment
Founding Year: 2019
Location: Aachen, Germany
Partner with Safion for Battery Inspection
Safion is a German startup that develops battery quality measurement systems. The startup’s product, ExaMight, leverages online electrochemical impedance spectrum (oEIS) to reduce the measurement time. It also includes a software solution that uses machine learning for feature extraction and weighting to automatically evaluate each battery with tailored requirements. Thus, ExaMight enables quick quality assessments as opposed to classical EIS measurement systems as well as supports current cell designs and lithium-ion batteries.
Lynus enables Power Consumption Optimization
Founding Year: 2020
Location: Schwyz, Switzerland
Innovative with Lynus for Building Energy Management
Swiss startup Lynus offers ML-based solutions for power consumption and performance optimization. The startup’s solution, Lynus Energy Management System, analyzes current and future weather data to optimize heating. Additionally, it provides anomaly detection of unexpected events in this data set, such as spikes in energy consumption. Based on that, Lynus Energy Management System controls the power flow to further optimize the heating circuit. PropTech companies utilize this system to automate building energy management and reduce maintenance costs.
EcoMetric Consulting provides Smart Meter Analytics
Founding Year: 2016
Location: Exton, US
Use this solution for Automated Decarbonization Accounting
EcoMetric Consulting is a US-based startup that offers smart meter analytics. The startup’s proprietary smart meter, EnMeter, collects interval data and hourly emission profiles to develop predictive energy models. It then calculates on-peak, seasonal peak, and critical peak savings. This allows utility companies to automate energy decarbonization accounting and visualize the time value of decarbonization projects, thereby increasing operational efficiency.
Okra Solar develops a Site Simulation Tool
Founding Year: 2016
Location: Sydney, Australia
Partner with Okra Solar for High-Power Solar Home Systems (SHS)
Okra Solar is an Australian startup that provides a site simulation tool to identify rooftops. It uses machine learning to identify household clusters that could potentially be interconnected using Okra Mesh-Grids (OMGS) technology which redistributes excess energy. Further, the site simulation tool calculates and identifies the least cost electrification mode for these households. This allows for efficient power utilization and enables households to access more power during the day and less at night. Off-grid and distributed power companies leverage this solution to provide energy access in rural and remote areas.
Olmatic makes a Charging Load Management System
Founding Year: 2016
Location: Freudenstadt, Germany
Reach out to Olmatic for Energy Trading
German startup Olmatic offers a charging load management system. It consists of sensors attached to the main connection points and a software platform. Together, they identify the amount of energy used by each system and the shared energy available for charging infrastructure. Lastly, the central control unit connects to the charging infrastructure and the specific charging point, allowing intelligent energy distribution. Plant operators leverage this solution to predict energy loads in charging stations efficiently, sustainably, and cost-effectively.
Discover more Energy Startups
Energy startups such as the examples highlighted in this report focus on distributed energy generation, critical infrastructure, robotic process automation (RPA), simulation models, and advanced analytics. While all of these technologies play a major role in advancing the energy industry, they only represent the tip of the iceberg. To explore energy technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Energy Innovation Report to save your time and improve strategic decision-making.