The startup develops an autonomous mind platform that automates the renewable energy production value chain using AI, IoT, and battery storage technologies. This platform enables clients to lower electricity costs while increasing revenue and profitability through optimized energy management and procurement.
Funding
$12.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Commercial and industrial energy customers face challenges in managing the increasing volatility of energy markets and integrating decentralized renewable energy resources (DERs) efficiently. Existing solutions often lack the real-time optimization and market access needed to reduce energy costs, manage risks, and minimize CO2 emissions effectively.
Solution
Frequenz provides an AI-powered platform that enables commercial and industrial energy users to actively manage and optimize their DERs, transforming them from passive consumers into active energy market participants. The platform leverages machine learning models to harmonize local energy assets, such as solar, wind, hydro, battery storage, and EV chargers, with external factors and energy markets in real-time. By connecting microgrids to various energy markets, Frequenz facilitates power trading, balances energy for grid stability, and offers demand response capabilities, enabling customers to optimize every kWh, reduce grid fees, and enhance energy resilience. The platform also supports advanced peak shaving and solar-plus-storage solutions, extending asset lifespan and maximizing the utilization of renewable power sources.
Target Audience
The primary target audience includes commercial and industrial (C&I) electricity customers, technical managers, and energy experts seeking to optimize energy consumption, reduce costs, and integrate renewable energy sources into their operations.
Features
- Real-time monitoring and control of microgrid components through a Microgrid EDGE API
- Automated scheduling of microgrid components, including batteries and charging stations, via a Dispatch API
- Access to Ancillary Services Markets through a dedicated API, enabling bid placement for frequency containment reserves (FCR) and automatic frequency restoration reserves (aFRR)
- Electricity Trading API for real-time trading in spot markets, including order submission and access to market data
- Reporting API delivering real-time metrics for microgrid components, supporting predictive analytics and integration with trading APIs
- Weather & Forecast API leveraging real-time and forecasted weather data for accurate energy consumption and production predictions
- Python SDK for building customized and secure applications, featuring well-abstracted interfaces, an actor-based plug & play framework, and resilient software design
- Integration with leading data science platforms (e.g., Deepnote, Google Colab, Hex, JupyterLab) for enhanced data analysis and visualization
- Secure access control with uniformly organized microgrid components and locations in networks with dedicated access management