Manufacturing Intelligence Platform

Industry challenge

Discrete and high-mix manufacturing environments face a compound visibility problem. Machines from different vendors run on different protocols, making unified monitoring difficult without custom integrations. Shift logs are maintained on paper or in spreadsheets, and by the time performance data is aggregated and reviewed, the shift responsible for the problem has already ended. Line supervisors spend significant time walking the floor to understand what is happening rather than acting on what they already know. Production orders, jobs, and batches are tracked in ERP or separate tools that never connect to real machine behavior — so planned production and actual production diverge without anyone noticing until a delivery is at risk. Improvement programs like OEE or lean manufacturing stall because the baseline data required to set targets and track progress is unreliable or unavailable.

How Factobrain applies

Factobrain connects to machines across mixed vendor environments using industrial protocols — MQTT, SparkplugB, Modbus, and OPC-UA — without requiring custom middleware or vendor-specific integrations. Connected machines stream live state data — RUN, PREPARATION, STOP, OFFLINE — structured within the actual production hierarchy: Unit, Department, Line, Machine. Production jobs, shifts, operators, and batches are mapped to each machine group, so every data point is captured with full operational context rather than as an isolated time-series event. Role-based dashboards give operators and shift supervisors the machine-level view they need, while plant managers see line and department performance in a unified, comparable format. Downtime events are logged automatically the moment a machine stops, with reason codes that standardize how every team records stoppages. OEE is calculated continuously from live machine states, production counts, and cycle time — not from manual entries made after the shift.