AssetSentry

AssetSentry is a web app (with optional mobile companion) that builds lightweight digital twins for industrial assets using existing sensor tags (vibration, temperature, current, pressure) and maintenance history. Instead of promising a perfect physics model, it focuses on pragmatic predictive maintenance: baseline behavior, detect drift, and quantify risk-of-failure with clear confidence and recommended actions. It connects to common plant data sources (OPC UA, MQTT brokers, historians) and outputs work-order-ready alerts with evidence (trend snapshots, anomaly explanation, similar past events). The twin is “good enough” to answer: what changed, how fast, and what to do next. It also includes a commissioning wizard to reduce the painful setup that kills most PdM pilots, plus a simple ROI dashboard that ties avoided downtime and parts usage to dollars. This is an AI + traditional app combination.