Rectifier Layer for business pipelines
Add a reliability layer to the forecasts your business already runs on. Rectifier stress-tests each prediction against real-world volatility before it drives decisions across margin, capacity, and execution. No pipeline rebuild required.
Day-ahead load forecasting across peaks, ramps, and low-demand hours, where forecast misses can affect reserve planning and dispatch cost.
Rectifier improves day-ahead forecasts before they guide reserve planning, peak response, and dispatch.
Return and volatility forecasts used to generate trading signals, where false alerts and missed opportunities can compound quickly once capital is allocated.
Rectifier improves return forecasts before they guide allocation, timing, and trading decisions.
Irrigation-demand forecasting for avocado orchards, where poor timing can mean over-watering, missed stress events, and avoidable seasonal cost.
Rectifier improves irrigation forecasts before they guide water use, timing, and crop-stress response.
An existing model first produces the baseline prediction. RectifierML then reads that prediction together with recent miss behavior, returning a corrected forecast and a calibrated 95% confidence interval for downstream decisions.
For technical details, collaborations, or pricing, contact the project directly.