Factbird vs OpSee

Factbird is a manufacturing intelligence suite that turns production data into operational insights and shop-floor workflows. Production Insights provides real-time and historical visibility, OEE analysis, downtime analytics, role-based views, and shift or batch scheduling. Connected Operations adds digital guidance, paperless quality checks, SOPs, checklists, execution flows, e-signatures, audit trails, and preventive maintenance. Knowledge Excellence includes learning management, a skills matrix, training tools, learner notifications, and PDCA action plans. Production data can come from Factbird Industrial IoT devices or directly from PLCs; the software presents live graphs, stop-cause reporting, and OEE monitoring. Connectivity includes MQTT, OPC UA (Kepware), a GraphQL API, and webhooks, with Power BI, Tableau, SAP, and Microsoft Dynamics 365 named as integration examples. Factbird says data is encrypted in transit and at rest, with SSO, MFA, and an enterprise private-cloud option. Its apps require the Factbird platform. There is no dedicated iOS or Android app, though users can add the web app to a phone home screen. The company is based in Copenhagen and says it has helped manufacturers since 2016.

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.