Foresight-Redundancy
Systems that bend before they break.
Stop reacting to failures. Start predicting them. Foresight-Redundancy detects invisible drift in your data to give you a 2-week head start on maintenance.
The problem: too much data, too little foresight
Operations teams are buried in dashboards, thresholds, and alarms. What they really need to know isn’t “Is this number high?” — it’s:
“How long can I trust this system before it becomes expensive?”
Foresight-Redundancy answers this by measuring a system’s temporal horizon — how far ahead it remains predictable.
Simple traffic-light interpretation
- 🟢 GREEN – Stable: horizon is long; no action needed.
- 🟡 YELLOW – Watch: horizon shortening; verify readings, plan maintenance.
- 🔴 RED – Act: horizon collapsed; adjust, clean, or replace the asset.
Sensor Drift – Predictive Horizon Collapse
"Fig 1: The 2-week warning window. While the sensor looks fine to the naked eye, the FR score (bottom chart) warns you to recalibrate."
How it works: forecast the future, not the present
FR fits a small forecasting model onto your live readings and asks:
“How far ahead does the prediction stay accurate before error grows too large?”
- Long horizon → system stable and cheap to ignore
- Shortening horizon → system drifting, cost rising
- Collapsed horizon → system cannot see its future; time to act
Wifi Collapse – FR Horizon
"Fig 2: The 'Horizon' (orange line) drops to zero 4 hours before the user actually complains about slow Wifi."
Where Foresight-Redundancy helps
- Greenhouse Operations: Detect drifting humidity/EC probes before they mislead climate computers.
- Solar Arrays: Distinguish weather events from hardware strain to stop unnecessary truck rolls.
- Municipal Water/Waste: Catch unstable pumps and valves before the standard alarms trigger.
What FR delivers
- Earlier warnings than threshold-based alarms
- Fewer nuisance alerts than anomaly detection
- An economic trigger for intervention
Start with your data
I’m currently running pilots with teams who want clearer reliability insight and fewer false alarms — using the data they already collect.
Validate your data for free. Don't guess if your sensors are drifting. Send me a CSV export (1 week of data), and I will send you back a Foresight Report showing exactly when you should have intervened.