CastValue.ai
CastValue.ai operates a forecast intelligence platform for the European short-term power market, providing independent, methodology-driven benchmarking of forecast providers against realized market data. The platform scores forecasts using accuracy metrics like MAE and RMSE alongside a BESS-specific trading value simulation, enabling traders to compare providers and forecasters to showcase verified performance. It covers multiple markets including DE-LU, BE, FR, and NL with quarter-hourly resolution and continuous daily updates.
- Data & Analytics
- Software Only
- Artificial Intelligence
- Energy
- Financial Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Forecast evaluation in the European power market is often manual, inconsistent, and provider-biased, with vendors constructing their own internal backtests and static comparisons that quickly become stale. This lack of a shared, independent standard makes it difficult for traders to compare forecast providers on a level playing field and for forecasters to credibly demonstrate their value to prospective clients.
Solution
CastValue provides a forecast intelligence platform that applies a consistent methodology to every forecast provider, every day, scoring them against realized market data using both accuracy and trading value metrics. The platform offers live and historical performance views, custom peer groups, and side-by-side provider comparisons, enabling traders to identify consistently strong forecasters and forecasters to showcase their verified performance. Users can export comparison tables and visuals directly to PDF or Excel for internal review and procurement, and forecasters can share personalized dashboards with prospective clients to close deals faster. The platform supports multi-market coverage with quarter-hourly resolution and continuous daily updates.
Target Audience
Primary customers are short-term power price forecast providers and trading teams operating in European power markets, including energy trading firms, forecast vendors, and internal model benchmarking teams.
Features
- Consistent, methodology-driven scoring of all forecasts against realized market data using MAE, RMSE, nMAE, and MAPE accuracy metrics
- Trading value metric based on EUR/MW spread simulation with daily dispatch detail and charge/discharge profiles
- Multi-market coverage including DE-LU, BE, FR, and NL with quarter-hourly resolution (96 intervals/day)
- Custom peer groups filterable by market, update frequency, forecast horizon, and methodology
- Shareable benchmark dashboards with lead capture functionality, showing forecasters which traders open their shared dashboards
- Automated daily forecast uploads via API with continuous scoring and PDF/CSV export capabilities
- Lead alerts with trader contact data when forecasters are benchmarked, plus curated prospect lists when performance outranks peers