POXA Energy develops AI-powered software for managing energy assets and participating in energy trading markets. Their platform enables automated trading across multiple energy product types, optimizing asset utilization and maximizing returns.
Funding
Funding not disclosed
Founders
Product
Problem
Energy asset owners face challenges in optimizing the performance of their assets and maximizing returns from energy trading markets due to the complexity of grid operations and market dynamics. Existing energy management systems (EMS) often lack the ability to accurately assess asset performance, identify inefficiencies, and provide actionable recommendations for improvement. This can lead to suboptimal asset utilization, reduced revenue, and increased operational costs.
Solution
POXA Energy offers an AI-powered asset performance management (APM) solution that enables energy asset owners to optimize their operations and participate effectively in energy trading markets. The Poxa Decode Energy Service evaluates asset performance, identifies performance gaps, and provides recommendations to improve operational efficiency. The platform supports automated trading across multiple energy product types, including dReg, sReg, and E-dReg, allowing users to capitalize on time-of-use pricing and avoid excess demand charges. By leveraging historical data and AI-driven forecasting, the system optimizes energy dispatch, reduces curtailment, and minimizes battery degradation, ultimately maximizing revenue streams for renewable energy asset owners.
Target Audience
POXA Energy targets renewable energy asset owners, large electricity consumers, and energy service providers seeking to optimize asset performance, reduce costs, and maximize revenue in energy trading markets.
Features
- AI-driven analytics for assessing energy asset performance and identifying areas for improvement
- Automated energy trading capabilities across various energy markets, including dReg, sReg, and E-dReg
- Support for time-of-use pricing optimization and peak shaving strategies
- Predictive analytics for forecasting energy generation, curtailment, and battery degradation
- Real-time monitoring and control of energy assets for optimal dispatch
- Integration with existing energy management systems (EMS) and grid infrastructure
- Customizable dashboards and reporting tools for tracking asset performance and financial metrics