Smart Factory & IIoT

Connect machines, sensors and production systems to a secure cloud data platform and turn plant-floor signals into real-time visibility for every shift.

Plan an IIoT Pilot →Readiness Assessment
OPC UAMQTTAWS IoT CoreAWS IoT GreengrassTime-Series DataOEE Dashboards
What We Build

The connected factory, layer by layer

01
Machine and PLC connectivity
Secure connections to PLCs, SCADA, sensors and legacy equipment using industrial protocols such as OPC UA, MQTT and Modbus.
02
Edge gateways
Local processing, filtering and buffering at the edge so data keeps flowing through network interruptions and only useful signals reach the cloud.
03
Industrial data lake
A governed time-series and event data platform on AWS that unifies machine data with production, quality and maintenance records.
04
Real-time dashboards
Live views of OEE, downtime, throughput, scrap and energy for operators, supervisors and plant leadership.
05
OT/IT security
Network segmentation, certificate-based device identity, least-privilege access and monitoring designed for industrial environments.
06
MES and ERP integration
Two-way integration with MES, ERP and maintenance systems so insights reach the workflows where decisions are made.
Reference Architecture

How data flows from machine to decision

1
Sense
Sensors, PLCs and controllers produce signals on condition, output and quality.
2
Edge
Gateways collect, normalise and filter data locally and act on time-critical events.
3
Ingest
Data is streamed securely to the cloud with device identity and encryption in transit.
4
Store and model
Time-series and contextual data are stored in the industrial data lake with a consistent asset model.
5
Analyse and act
Dashboards, alerts, ML models and AI agents turn data into decisions and feed actions back to operations.
Outcomes

What changes on the plant floor

01
One view of production
Every line and shift reports from the same live data, replacing manual logs and end-of-day spreadsheets.
02
Faster root-cause analysis
Engineers can trace downtime and quality issues to specific assets, conditions and time windows.
03
A foundation for AI
Clean, contextualised machine data is the prerequisite for predictive maintenance, digital twins and industrial AI agents.
Proof in Practice

Related case study

01
Manufacturing · IIoT Real-Time Data Lake
Plant-floor data streamed into a cloud data lake for real-time analytics.
Read case study →

Connect your first line

We will help you choose the right assets, protocols and architecture for a pilot that proves value quickly and scales cleanly.

Plan an IIoT PilotReadiness Assessment