Three detection layers working together across every asset
Define hard limits and operating constraints you already know. Rules fire instantly when a parameter crosses a boundary, giving deterministic coverage for safety-critical thresholds alongside the ML layers.
Train models on labeled fault examples from your plant history. Beacon learns to recognize specific failure modes your equipment has exhibited before and matches incoming signals against those patterns.
Detect novel deviations with no labeled data required. Beacon builds a behavioral baseline from normal operation across hundreds of signals and flags anything that departs from it, including faults you have never seen before.
Beacon gives our engineers an early signal when something isn't quite right. It learns how equipment normally behaves and flags subtle changes long before alarms trip or production is impacted.
Digital Solution Technical SME, Large Private Manufacturer
No data science degree required. Beacon is designed for the engineer who knows their plant, not their Python.
Models are trained on your operational history, not generic equipment templates. Beacon understands what normal looks like for your pump at your site, under your load conditions.
Every anomaly comes with a ranked list of contributing signals and fault pattern matches. Engineers arrive at the investigation already knowing where to look, not starting from scratch.
Seasonal shifts, load changes, and process transitions are accounted for automatically. Beacon re-baselines as your operating envelope evolves, with fewer false positives and more confident detections.
Beacon can start detecting anomalies within days of connecting to your operational data. We’ll walk through a live demo on your most critical asset type.
Osprey helps teams trust and automate the manual tasks behind their OT data.