AGEERA provides intelligent energy management solutions combining AI-powered SaaS and modular battery hardware for commercial and industrial consumers. Their platform optimizes energy storage and microgrid operations to reduce power costs and improve grid resilience. The integrated system enables clients to generate new revenue streams through participation in grid services.
Funding
$100K 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
Large-scale electricity consumers face challenges related to high energy costs, intermittent renewable energy supply, and the need for reliable power. Traditional energy management systems often lack the real-time data analysis and dynamic optimization capabilities required to effectively address these issues.
Solution
AGEERA develops and manages behind-the-meter energy storage systems for large-scale electricity consumers, leveraging a novel simulation model to optimize energy consumption and enhance power reliability. The company's management software combines real-time data acquisition and algorithms to deliver dynamic optimization of operational regimes, temporal load and generation variability forecasting, as well as power quality operational fault detection and response. By deploying and managing these energy storage systems, AGEERA enables customers to generate income from their ongoing energy consumption, harness intermittent renewable energy, reduce their carbon footprint, and maintain a reliable power supply.
Target Audience
AGEERA's primary customers are large-scale electricity consumers, including industrial complexes and hospitals, seeking to reduce energy costs and improve power reliability.
Features
- Real-time data acquisition for dynamic optimization of energy storage operations
- Advanced algorithms for temporal load and generation variability forecasting
- Power quality operational fault detection and automated response
- Simulation model for optimizing energy consumption patterns
- Management software for multi-asset energy storage arrays