See 4 hours ahead.
Twynvex runs your process model forward in time — using live sensor data as the starting point. The result is a 2 to 6 hour forecast of yield, energy, and quality outcomes, updated every 15 seconds as new sensor data arrives.
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How the prediction is generated.
Monte Carlo Ensemble
We propagate uncertainty through the physics model using a Monte Carlo ensemble of runs, sampling from measured parameter distributions to produce a confidence band around the central forecast.
Sensitivity Envelope
The system computes a sensitivity matrix showing how much each key process parameter contributes to forecast variance. This tells operators exactly which variable to watch most closely.
Outcome-Linked Alerts
Alerts fire when the predicted outcome — not a raw sensor value — crosses a threshold. This eliminates alarm fatigue from thresholds that trigger on normal operating variance.
Alerts tied to what matters — outcomes, not raw signals.
Configure thresholds against predicted yield deviation, not individual sensor values. A DCS operator can set an alert to fire if the 4-hour yield forecast drops below 91.5% — independent of which sensor combination caused it.
Set up your first predictive alert in week one.
Our onboarding process gets you from sensor connection to a live prediction within one week. The first alert is usually yield or energy consumption — whichever the plant manager cares about most.