Elwids
Solution · Industry 4.0

Know why machines stop before the shift report is written.

FactoryOps captures PLC, machine-controller, sensor, and gateway parameters into one production data layer - regardless of vendor, age, or protocol. Turn raw machine signals into live state, downtime reasons, OEE-ready rollups, maintenance alerts, and controlled automation opportunities.

What you get

Operator-grade visibility across a mixed machine fleet

Every critical signal on the floor

Capture PLCs, drives, machine controllers, edge sensors, and gateways across vendors and generations into one production data layer.

Derived process parameters

Turn raw signals into the parameters your team actually uses: efficiencies, rates, OEE-ready rollups, and rolling aggregates.

Cross-machine automation

Mash up inputs and actuators across machines. Rule-based actions that fire on telemetry, schedules, or upstream events.

Device control with audit trails

Send commands and setpoints to actuators safely, with full audit history of who changed what and when.

OTA firmware management

Staged rollouts and rollback for edge devices. Keep firmware honest across the floor without truck rolls.

Uptime monitoring & alerts

Online/offline state, fault detection, and alerts for every machine and node. Spot dropouts before operators do.

Business outcomes

Not just connected machines. Faster decisions on the floor.

FactoryOps turns scattered machine parameters into the operational context managers, engineers, and maintenance teams need every shift.

Reduce manual shift reporting and spreadsheet hand-offs.
Shorten root-cause analysis when lines stop or slow down.
Give maintenance earlier warning when gateways, drives, or sensors drop offline.
Create clean data for OEE, energy-per-unit, and automation workflows.

How we build it

From tag lists to an intelligence-ready floor

Step 1

Map the parameters

We inventory machines, controllers, sensors, and the PLC tags that matter to operating decisions.

Step 2

Capture and normalize

Pull from PLCs, gateways, MQTT, OPC-UA, or historian APIs into the platform's trusted data model — no parallel network.

Step 3

Ship intelligence layers

Deliver operator and engineering dashboards, derived KPIs, automation rules, and alerts on top of the same data.

Pains it addresses

Things engineers already know are wrong but can't see

  • Machine data sits trapped in vendor HMIs and historians.
  • Process parameters live in spreadsheets and tribal knowledge.
  • Automation across machines means another PLC project, every time.
  • Firmware versions on the floor are unknown until something breaks.
  • Nobody knows a gateway dropped until an operator notices a blank screen.
  • Alerts only exist where a single vendor remembered to add them.

Process & manufacturing

Want live machine state and downtime context from the fleet you already run?

Tell us about the lines, controllers, tags, and gateways on your floor. We'll scope which parameters to capture first and how to turn them into usable production intelligence.