AI-enabledsmart factories.Start small. Scale fast.
We digitise Saudi plants on the machines they already have, clip-on sensors or direct PLC reads, then grow line by line to a connected, AI-enabled factory.
Why digital manufacturing matters now
Saudi manufacturers are investing in digital capability to raise productivity, strengthen resilience and diversify the economy, and most plants still run on paper and end-of-shift numbers.
No live view of machines
Output, stops and speed are known at the end of the shift, if at all.
Rising energy bills
No idea which machine, line or shift uses the power.
Unplanned breakdowns
Machines fail without warning and orders slip.
Skills & Saudization
New staff must become productive quickly on complex equipment.
The answer: one data layer under every line, any sensor, any network, no replacement of existing machines.
Sources: MIM National Industrial Strategy; Future Factories Program; SDAIA 2026
Smart factories, on the machines you have
Older machines get clip-on sensors; newer ones are read straight from the PLC. One in-Kingdom data platform turns it into OEE, energy, quality and maintenance decisions.
Connect the line
Clip-on current, vibration and counter sensors, or PLC/SCADA reads, installed in days.
One plant data layer
Historian, alarms, OEE and energy on an in-Kingdom platform, MES/ERP-integrated.
Decide and improve
Dashboards, predictive maintenance, quality analytics and AR work instructions.
Building blocks of a smart-factory programme
Six components we assemble per programme, most clients start with two or three.
Sensors & PLC connectivity
Any vendor, any protocol: Modbus, OPC UA, PROFINET, EtherNet/IP.
Edge & OT network
Rugged gateways, local buffering and OTCC-aligned segmentation.
Industrial data platform
Historian, alarms, OEE, energy and batch genealogy in-Kingdom.
Industrial AI
Predictive maintenance, quality and energy models on plant data.
Connected worker
AR work instructions, remote expert and digital checklists.
MES / ERP integration
Production confirmations, maintenance orders and quality records.
How it works: from the sensor to the decision
Six stages that every plant signal passes through.
Sense
Sensors, PLC, SCADA, meters
Collect
Edge gateway, secured
Connect
Wi-Fi, Ethernet or cellular
Store
Plant historian in-Kingdom
Analyse
OEE, energy, AI models
Act
Dashboards, alerts, work orders
Where the value is on a production line
Eight use cases that pay back first, start with one, add the rest on the same platform.
Line OEE
Live counts, speed losses and stop reasons by shift and bottleneck.
Predictive maintenance
Alerts before breakdowns; service history per machine.
Energy per line & product
kWh per unit, idle-power waste and peak-load warnings.
Quality & traceability
Digital checklists, batch genealogy, less scrap and rework.
CIP & utilities
Water and energy per cleaning cycle; steam, air and refrigeration.
Cold-chain monitoring
Cold-store temperatures with excursion alarms and energy per pallet.
AR work instructions
Step-by-step guidance and remote expert for faster onboarding.
Production tracking
Orders, WIP, material usage and on-time delivery.
Where it creates value by manufacturing sector
Typical first use case by sector, every factory is different, so we start with a digital check.
Food & beverage
Filler and packer OEE, CIP water and energy, cold chain, HACCP records.
Pharma & medical
Cleanroom monitoring, electronic batch records, 2–8 °C cold chain.
Plastics & packaging
Machine cycles, scrap and mould changes.
Metal fabrication
Machine utilisation, job tracking and energy per job.
Building materials
Energy per tonne, kiln monitoring and dust.
Chemicals & paints
Batch traceability, tank levels and safety sensing.
Three starting points, Starter, Grow and Scale, each builds on the last; nothing is thrown away.
A month with one line live
Illustrative sequence from a Riyadh packaging plant.
factory check
A short on-site visit finds the top three quick wins on the busiest line.
connected
Clip-on sensors on five machines; live output, stops and OEE on a mobile dashboard.
first findings
Changeovers and an under-fed hopper explain most of the lost output; energy at idle is visible.
plan to scale
Results against baseline; the next two lines, maintenance alerts and quality checklists are scoped.
Installed in days, usually without stopping production, then line by line.
Illustrative scenario, not a case study.
Technologies behind this solution
AI & machine learning
Models that learn from your operations. Decisions that improve.
OpenRAG & enterprise knowledge systems
Every answer with its source. Every document found.
OpenPredictive analytics & decision intelligence
Know what happens next. Decide with evidence.
OpenIoT & intelligent sensor networks
Any sensor. Any network. One data layer.
Open
Let us map your factoryand prove one line.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.