Solship
Solship provides an AI-powered energy trading platform that connects to existing battery storage installations without hardware changes, using its proprietary Farsees 2.0 foundation model to forecast prices and grid conditions with over 90% accuracy. The system optimizes battery dispatch across day-ahead, intraday, balancing, and frequency regulation markets simultaneously, executing trades automatically 24/7 to maximize revenue. Battery operators using Solship typically see up to 2X revenue increase compared to traditional battery management approaches.
- Energy
- Artificial Intelligence
- Clean Technology
- Software Only
- Data & Analytics
- Financial Technology
Funding
Founders
Founder details are not available yet.
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, built on its proprietary Farsees 2.0 foundation model, 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, using the proprietary Farsees 2.0 foundation model that outperformed Google TimesFM and Amazon Chronos-2 in published benchmarks
- Zero-shot forecasting capability that requires no site history for new installations, enabling deployment within days
- Real-time optimization across five revenue streams: energy arbitrage, frequency regulation, balancing market services, peak shaving, and self-consumption optimization
- Probabilistic forecasts with 99 calibrated quantiles per signal at 15-minute resolution, up to 37 hours ahead
- Automated trade execution 24/7 with millisecond response times to market signals and grid imbalances
- 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