Augury Machine Health vs OpSee

Augury Machine Health is a cloud platform for monitoring industrial equipment and guiding maintenance teams. Its sensors capture vibration, temperature, and magnetic data for real-time visibility into condition and performance. Augury says coverage spans more than 200 asset types and four criticality levels. AI diagnostics are intended to identify machine failures early, with prescriptive guidance backed by Category III and IV vibration analysts. The platform connects with CMMS and EAM systems, including SAP PM, IBM Maximo, and Infor EAM, and can trigger work orders with diagnostic findings and repair guidance. It also connects to cloud and industrial data platforms, historians, and SCADA systems; custom integrations can use public APIs or certified system integrator partners. Mobile access includes status monitoring, troubleshooting, QR scanning, and device configuration updates. Apps are listed for Android, iOS, and web.

OpSee is an open, modular manufacturing execution and industrial data platform for factories, covering MES, OEE, historian, analytics and AI. Its data logging module connects to MQTT brokers, OPC-UA endpoints and industrial protocols, and is described as always free. The historian stores and retrieves time-series process data. Analytics includes trend charts, Pareto analysis, custom KPIs, interpolation, annotations and multi-axis support; OEE tools provide real-time gauges, production trends, downtime categories and loss analysis. MES covers production orders, operator screens, quality checks, traceability and material tracking. AI features include anomaly detection, predictive insights, root-cause assistance and plain-language questions about historical data. OpSee can run at the edge, on premises or in the cloud, with managed hosting options named for AWS, Azure and GCP. Edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM. Starter costs €59 a month per equipment and Pro costs €95 a month per equipment.