Hi Product Hunt 👋 We built BRYGE after seeing the same problem repeatedly in industrial operations: companies have huge amounts of operational data sitting across historians, databases and dashboards, but getting to the root cause of a problem is still largely a manual process. When something goes wrong, engineers often need to jump between systems, understand asset relationships, compare process behaviour, query data and piece the story together themselves. The data exists, the hard part is turning it into an investigation. That became the idea behind BRYGE. Connect your operational data, describe how your operation works, and ask a question in plain language. BRYGE investigates the process and the assets involved, analyses the underlying data, follows the operational relationships, and surfaces the most likely cause together with the evidence behind it. Our thinking evolved quite a bit while building it. We initially focused more on dashboards and operational visibility, but realised that another dashboard wasn't really the problem we wanted to solve. The bigger opportunity was helping engineers investigate what happened, why it happened, and where they should look next. We’re still early, and we’d genuinely love feedback from people working with industrial data, manufacturing, energy, oil & gas, mining, historians, MES systems, or time-series databases. Thanks for checking out BRYGE 🚀

BRYGE

AI root-cause intelligence for industrial operations

AI root-cause intelligence for industrial operations