Solship is an AI-powered energy trading platform that transforms battery energy storage systems into automated profit-generating assets. The platform connects to existing inverters, batteries, and meters without hardware changes, then uses machine learning to forecast prices, consumption, and grid conditions while running millions of simulations per minute to optimize dispatch across day-ahead, intraday, and balancing markets. BESS operators using Solship typically see up to 2X revenue increases compared to traditional battery management approaches.
Funding
Funding not disclosed
Founders
Product
Problem
Battery energy storage systems (BESS) are often underutilized because manual or rule-based trading cannot track multiple market signals simultaneously, react to real-time price spikes, or operate 24/7. Static charge/discharge schedules miss profitable opportunities across volatile wholesale, frequency, and balancing markets, leaving significant revenue on the table for battery operators.
Solution
Solship provides an AI-powered energy trading platform that connects to existing battery installations—including inverters, batteries, and meters—without requiring hardware changes. The platform's machine learning models forecast energy prices, solar generation, electrical load, and grid conditions with over 90% accuracy, then run millions of simulations each minute to determine the most profitable action: buy, sell, or store energy. Solship optimizes battery dispatch simultaneously across day-ahead, intraday, and balancing markets, plus frequency regulation services like FCR, aFRR, and mFRR, while automatically executing trades 24/7. The system also factors in battery degradation costs to maximize net profit over the asset's lifetime, and provides transparent reporting showing exactly how revenue is generated.
Target Audience
Primary customers are battery energy storage system operators, including renewable energy project developers, commercial and industrial facilities with on-site storage, and grid-scale BESS asset owners seeking to maximize revenue from their installations.
Features
- AI-driven forecasting of wholesale energy prices, solar output, consumption patterns, and grid conditions with over 90% accuracy
- Real-time optimization across five revenue streams: energy arbitrage, frequency regulation, balancing market services, peak shaving, and self-consumption optimization
- Automated trade execution 24/7 with millisecond response times to market signals and grid imbalances
- Revenue stacking capability that switches between markets based on which offers the highest value at any given moment
- No hardware changes required—connects to existing inverters, batteries, and meters
- Transparent reporting dashboard showing the source of every euro of revenue generated
- Battery degradation modeling integrated into dispatch decisions to maximize lifetime profitability