Powered by Edge ML · Real-time PLC connectivity
Industrial intelligence,
from sensor to shop floor.
Four consoles working on real factory data — predict machine failures ahead of time, continuously optimize energy consumption, pinpoint where, when and why parts get scrapped, and monitor OEE across the shop floor in a live 3D digital twin.
ROC 0.97 on AI4I benchmark 12.4M THB savings MTD 2.1 ms edge inference
01 / PRODUCTION
ProductionOps Cockpit
Predict CNC machine failures before they happen
Machines
10
Open risk
3
ROC
0.97
AI4I 2020HDF · PWF · OSF · TWFEdge ML
02 / ENERGY
EnergyOps Center
Load forecast · Schedule optimization · CO₂ reduction
Saved MTD
847k THB
CO₂ saved
12.4t
MAPE
3.2%
Steel IndustryTime-of-Use OptimizerESG Ready
03 / QUALITY
SCI ScrapIQ
Scrap log · Defect Pareto · machine×defect root-cause
Total scrap
9,432
Lines
6
Defects
38
Scrap logDefect ParetoRoot-cause
04 / OEE
SCI OEE Command Center
3D factory floor · Availability × Performance × Quality
OEE
88%
Machines
13
Process
Frame&Head
3D Digital TwinFrame&Head · Line 2Real Quality · sim OEE
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Operator-friendly
Color-coded alerts that operators can interpret at a glance — no ML jargon on screen.
⚡
Real-time response
Sub-50ms latency from PLC to screen — fast enough for shop floor decisions.
📊
ESG-ready reports
Export CO₂ and energy reduction reports as PDF following TGO standards.