Sparse Sentinel
Data centre demo
Packaging line demo
SEN schools demo
Water monitor demo
Air quality demo
Packaging line onboarding
Built by Sparse Supernova
Your packaging line already produces the signals needed for earlier warning. Sentinel learns normal behaviour across the line, detects deviation early, predicts likely events, and shows operators and engineers where to look before waste, downtime, and reject costs escalate.
It sits above existing controls, inspection, and telemetry. Sentinel does not replace PLCs, PACs, or inline inspection. It adds earlier warning, clearer evidence, recipe comparison, and operational impact.
Sentinel also checks whether sensor channels remain trustworthy, helping teams distinguish equipment drift from unreliable instrumentation.
Over time, each deployment builds structured fault intelligence that can improve maintenance, operations, procurement, and fleet benchmarking.
Download sample results (JSON) — sample public results for integrations or offline review.
Sentinel learns normal machine behaviour, detects deviation early, predicts likely events, and shows clear warnings on the UI before conventional alarms escalate.
Works across controller, motion, pneumatic, inspection, and quality signals. Links earlier warning to downtime, rejects, waste, and carbon impact.
Learn normal. Detect deviation early. Predict likely events. Show clear warnings on the UI.
Lead times shown are demo scenario outputs and will vary by line, signal quality, and fault mode.
| Fault | Threshold (h) | Sentinel (h) | Lead |
|---|