ENERGY & UTILITIES
We deployed our AI in the European power market first. It is our largest deployment to date. Market Edge forecasts day-ahead electricity prices in production. It learns from 83 live streams as the market changes, with no retraining.
Production
24-hour electricity price forecasts for European day-ahead markets, in production since April 2026, currently from 83 parallel input streams. Battery storage operators and energy traders use them to plan their operations.
Market EdgeEmpirical
In a historical backtest covering 2,097 days in the German-Luxembourg power market, Market Edge achieved 14 percent higher cumulative trading P&L than the TabPFN baseline. Most of the advantage comes from regime shifts. This is a backtest result, not a measure of live trading returns.
Read the benchmark reportProduction
The instances behind Market Edge keep learning as the market changes. Nobody schedules a retraining run, and each instance runs on an ordinary processor.
How it learnsRESEARCH
Deployed
Market Edge has forecast day-ahead electricity prices continuously in production since April 2026. It learns while operating, currently ingesting 83 parallel input streams. Battery storage operators and energy traders use its forecasts to plan their operations.
Backtested
Historical backtest, Market Edge: 14 percent higher cumulative trading P&L than the TabPFN baseline across 2,097 days in the German-Luxembourg power market. The advantage concentrates in regime shifts. A backtest result, not live trading returns.
Demonstrated
In a simulated stock market, an instance acted and learned what its actions cost: over 2,177 trades it recovered a hidden 25 percent tax schedule from the consequences of its own trades, with no reward function, and recovered it again each time the rule changed.
Demonstrated
In a simulated road network, an instance learned to predict delays and to choose a route before the delay happened, and kept improving how it acted on its own forecasts as conditions changed. We are looking for design partners to take this into operational use.
