What the AI learns from
Our Continual Learning System (CLS) learns wherever decisions rest on measured values that change over time, whatever the sector. This page says what kind of data that is. The industry pages say where the AI runs today.
RESEARCH
The architecture carries no assumption about a sector, and the environments below have nothing in common.
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.
Five properties of the data, and how it behaves over time.
Readings, prices, loads or flows. Data that is mostly identifiers, such as order, part or supplier numbers, is not what the AI learns from.
Each observation is a chance to adapt, so the cadence sets how quickly an instance keeps up.
That is what a cold start needs.
Values that drift over time, for whatever reason: a machine wearing, a patient changing, the seasons turning or a grid taking on new load. That movement is what the CLS keeps up with.
The CLS works on data that is already being collected.
Tell us about your data and the challenges you’re working through. Together, we can explore where our AI could help and what a useful next step would look like.
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