NeuralChain
Contact us
Manufacturing Intelligence · IFIS Cloud MES

Turning field data into
manufacturing intelligence.

Connects production planning, manufacturing execution, inventory, quality, equipment and monitoring in real time, and builds the manufacturing data foundation AI can actually use.

Request a demo See the product
IFIS Cloud MES Hwaseong Plant 2/Line A · day shift Work order · lot search Real time KM
Site
Hwaseong Plant 2
Production
Intelligence Console
Production planning
Work orders
Lot tracking
Quality · equipment
Inspection · defects
Equipment status
Maintenance history
Data
Edge · IIoT connectivity
Manufacturing datasets
Digital Twin
Admin
Users · permissions
Audit trail
Account settings
Manufacturing Intelligence Console
Puts equipment signals, work orders and quality on one axis, with agents proposing both cause and action.
Daily report
Attainment 92.7% +1.4
OEE 86.4% -0.8
Yield 98.2% +0.3
Equipment running 22 / 24 2 in maintenance
01 Line execution in process order
Input 1,240 Every Complete
Deposition 1,236 Every Complete
Etch 1,102 Every Bottleneck
Inspection 1,084 Every In progress
Shipping 1,061 Every Waiting
Completed Queued Bottleneck · etch
Etch queue growing — 3 lots expected to slip Root-cause analysis
02 Execution / quality correlation LIVE
Work order progress as of 14:20
08 11 14 17 20
WO-2418
Normal
WO-2419
-2h
WO-2420
In progress
WO-2421
Waiting
Plan Actual WO-2419 · 2 hours behind
Defect → equipment cause path 148 today
Particles 42%
Pattern defects 27%
Thickness variation 19%
Other 12%
ETCH-03
Conditioning required
DEP-02
Recipe check
Multiple tools
Classifying
Correlation 42% of defects concentrated on ETCH-03
Agent Flow Anneal Model
Signal collection done
Anomaly detection done
Root-cause analysis 81%
Action proposal queue
What is causing the delay in etch?
Copilot from equipment logs
ETCH-03's chamber conditioning cycle has run 2 cycles over, pushing processing time up. Three queued lots are stacked on that tool.
Would moving them to another tool still meet the due date?
Copilot reallocation simulation
Moving two lots to ETCH-01 completes within the due date. Checking the yield impact
reallocation simulation
ETCH-01 spare capacity 36%
Lots that can move 2
On-time probability 91%
Expected yield impact -0.2%
Added setup time 24 min
Create the transfer work order Yield impact detail Notify maintenance
Ask about the line
Problem

The floor runs,
but the data does not join up.

Equipment emits signals and operators record actuals. Until the two meet on the same time axis, root-cause work stays guesswork.

01 · Cause Equipment and actuals are recorded separately Tool logs stay on the tool while actuals live in spreadsheets and on paper, so lining up the same moment is hard.
02 · Knock-on Root-cause work starts after the fact Log collection only begins once the defect is confirmed, so corrective action takes days.
03 · Result The accumulated data cannot be used Formats differ, so it goes into neither analysis nor AI training as it stands.
Cumulative result No data foundation ever forms for AI to sit on
Product Experience

Plan to execution,
execution to judgement.

01
Planning & Execution
Puts plan and actual on the same axis.

Issues the production plan as work orders and takes line results back in real time, comparing progress by process on one screen.

Production planning Work orders Lot tracking
Execution metrics
Work orders today 18
Attainment vs. plan 92.7%
Late lots 3
actuals applied Real time
Per-process actuals passed to quality and equipment analysis
02
Quality & Equipment
Overlays defects on equipment condition.

Puts inspection results and tool parameters on one time axis, so you can see immediately which tool was in which condition when defects appeared.

Defect monitoring OEE Maintenance history
Quality metrics
Yield 98.2%
OEE 86.4%
Downtime 42 min
awaiting maintenance 2
Anomaly windows and tool conditions passed to the agent
03
Data Foundation
Leaves it in a form AI can use.

Accumulates equipment, lot and quality history under one schema, connects it to the industrial ontology and makes it queryable and verifiable by agents.

Edge · IIoT Standard schema Ontology link
Data foundation
Connected tools 24
Sampling interval 1 s
Standard schema Applied
Ontology link Complete
Confirmed into production, quality and maintenance decisions
Why Different

Not stopping at MES —
through to data AI can use.

NeuralChainX's four technical foundations work inside IFIS exactly as they do elsewhere.

Anneal
It uses the floor's own terms
It carries the process, equipment and defect code systems, so questions and answers use the words the team already uses.
Agentic
It goes from detection to action
Anomaly detection, root-cause analysis and reallocation simulation are split across agents whose results are cross-checked before anything is proposed.
Ontology
It links process to defect
Defines the chain from process to equipment, parameter, lot, defect and SOP, creating a path back to the cause.
Security
Line data never leaves the plant
Built on in-plant deployment and network separation, with every lookup and change logged.
Use Cases

One set of field data,
branching by role.

Line, quality, maintenance and management ask different questions of it — the source is the same equipment signal.

Unified manufacturing data Equipment · lot · quality history
Production control Sees plan versus actual and late lots in real time.
Quality Traces straight back to tool conditions when defects appeared.
Maintenance Sets maintenance timing on uptime and service history.
Plant manager Sees line-wide status and bottlenecks on one screen.
Deployment

Deployment chosen to fit
your plant environment.

Quick start Site requirements Fully isolated
Cloud
The standard configuration, for a fast start.
Use immediately
Standard process templates
Regular updates
Hybrid
Splits the edge on site from the cloud.
Real-time processing at the edge
Cloud analytics
Resilient to network loss
On-premise
Deployed entirely inside the plant.
Network-separated build
Direct equipment integration
Lookup history retained
Designed against N2SF criteria Network separation · access control · logging requirements

Start with one line
and connect it.

We connect one tool's signal and validate it through to live visibility.

Request a demo Pilot consultation