The AI operations layer for the manufacturing line

Not another dashboard. An autonomous production system.

You own the policy. The agents run the line.

FactoryX is a digital production supervisor — specialist agents on one reasoning core, watching yield, throughput, and the bottleneck across every station. It catches the drift before it turns to scrap, names what’s binding the ramp, and hands you the call that protects the plan — acting within your guardrails, stopping for a human wherever your policy says to.

9 specialist agents No code Human sign-off Fully audited
optical test · liveoperating
  • sensorCamera detects a defect
  • reasonReasoning core
  • decideReduce line speed
  • actRobot adjusts
  • systemMES updated
it decides & acts — within your guardrails
24/7watched
every station, every shift
Human in the loop
Sign-off
AI proposes · a person decides — by policy
Trusted by operators at scale
Industrial manufacturerFortune Global 500 telecomTop-5 single-family operatorNational oil & gasMajor banking institution
What autonomous line operations deliver
30–50%
less unplanned downtime — issues caught before they cascade
10–20%
higher throughput & first-pass yield from AI process control
24/7
every station watched — every shift, no one asking
50%+
faster root-cause across siloed test, MES & fab data
Directional outcomes from published smart-manufacturing & AI-in-operations studies (WEF Global Lighthouse Network, McKinsey, Deloitte) — your line and stack determine actuals.
Operator to line

One FactoryX. Every system the line touches.

The autonomous layer of your line — wired via MCP or native APIs into MES, test, and the order book. 1,300+ pre-built integrations, configured with no code.

Operatorcockpit · Decision Queue · alerts
FactoryXthe reasoning core — reviewers in the loop
MESwork orders & WIP
Test resultsstation throughput & yield
Order book / ERPconfigs & due dates
Binning / sortASIC bin distribution
Wafer / fab planstarts vs outs
Quality / QMSdefects & bone pile
Historiansensor & SPC data
Change mgmtECOs & routings
+ and more
A specific architecture.

Decisions under constraints

Optimizes the real objective

“Protect the ramp, hit the commit” — against a live bottleneck and scarce parts, not a fixed script.

Trade-offs made explicit

When supply is short it shows what gives and why — the constraint, the options, and the call.

Closed-loop control

Sense → decide → act → verify

Watches yield and throughput, corrects the drift, and confirms the line recovered.

Catches it first

The line flags its own problem before it shows up as scrap — no one has to be watching.

Production context

Grounded in your line

Every number from a live tool call into MES & test; the model from your ramp plan & SOPs.

It proposes. You approve

It acts within guardrails and files sensitive calls for sign-off. Your policy is the gate.

The operating model

You own the policy. The agents run the line.

You set the rules in plain English. A reasoning core routes every question to the right specialist, which reads the live line, applies your policy, and hands back a decision that’s ready to approve — pausing for a person exactly where your policy says to. It runs on top of the MES and test systems you already have, with no code.

Your systems
MESwork orders & WIP
Test resultsstation throughput & yield
Order book / ERPcustomers, configs, due dates
Binning / sortASIC bin distribution
Wafer / fab planstarts vs outs
FactoryX
Reasoning coreroutes every question9 specialist agentsone per part of the lineObservationsthe line watches itselfPolicy & knowledgeyour ramp plan & SOPs
Operators & team
Decision Queueapprove, reject, teach
Line Cockpitthe plant manager's view
Role portalstest eng · planner · exec
Assistantask in plain English
The specialists

One reasoning core. Nine specialists on the line.

The core fans work out to bounded specialists — each expert at its slice of the line, each carrying its own knowledge, tools, and policy. Each reads the live line through tool calls and answers the question leadership actually asks.

The line, stage by stage — a specialist owns each
Wafer & fab
Wafer / Fab
PIC yield
Yield
ASIC binning
Binning
Assembly & test
Test Station
Quality gate
Quality
Allocate & ship
Allocation
Ramp & Planning, Rework, and Report work across the whole flow.
Reviewers · human in the loop
Surfaces in
Line Cockpit
Decision Queue
Role portals
Assistant
Alerts
FactoryX · Reasoning Coreroutes every question to the right specialist
ObservationsPolicy & KnowledgeMemory
9 specialist agents — each with its own knowledge, tools & policy
Ramp & Planning
Wafer / Fab
Yield
Test Station
Binning
Allocation
Rework
Quality
Report
Systems out
MES
Test results
Order book
Binning / sort
+ and more
See all 9 specialist agents
Ramp & Planningweekly build forecast & ramp risk
Wafer / FabPIC supply vs wafer-out plan
Yieldthe yield cascade, stage by stage
Test Stationthe bottleneck & first-pass yield
BinningASIC bin sort & re-bin proposals
Allocationthe order book — who's protected, who slips
Reworkbone-pile — rework vs scrap routing
Qualitydefect analysis & process excursions
Reportleadership-ready ramp brief
No code · no engineers · no tickets

You build it. You change it. In an afternoon.

Every piece of that model is yours to shape — stand up a new operator portal, add a specialist agent, define what to observe, load a new playbook, or change a workflow — all in the admin console, no code and no waiting on a release. As your policy changes, the operation changes with it the same day.

Across the line

Every call the line has to make — made in seconds.

Watch the drift, predict the week, find the root cause, protect the ramp, win units back, and brief the plant — the whole operator’s week, coordinated by one reasoning core.

Watch & detect

Catch it first

The line watches itself — build rate, first-pass yield by station, bin mix, WIP — and raises the top problem before it derails the plan.
Build-rate vs planYield by stationBin distributionWIP by stageDown-station alertsAuto-escalation+ more
Predict & plan

Know the week

Predicted build quantity, the gap to the ramp target, and the binding constraint — PIC supply or test capacity — named before the week starts.
Predicted build qtyGap to ramp targetSupply ceilingTest-capacity ceilingBinding constraint+ more
Diagnose & root-cause

Find the why

The yield cascade traced end to end; the dominant loss stage and the constraining station named, with a defect Pareto behind it.
Rolled-throughput yieldDominant loss stageBottleneck rankingDefect ParetoExcursion vs fallout+ more
Decide & protect

Make the call

When supply is short, a re-bin proposal that protects the priority customer — filed for sign-off, driven by the policy you set.
Re-bin proposalReserve Bin AWho's protected / slipsHuman sign-off gatePolicy-driven priority+ more
Recover & optimize

Win units back

The bone pile routed by recoverable value — rework vs scrap — and Bin-C downgrades recovered into lower-reach configs.
Bone-pile dispositionRework vs scrapRecoverable-% routingBin-C recoveryNet units recovered+ more
Report & audit

Show the work

A leadership-ready ramp brief, and an immutable trail where every number traces to a tool call and every decision to a policy source.
Ramp briefImmutable audit trailAsk “why”, see the sourceSelf-authored dashboards+ more
The governing philosophy

AI proposes. A human decides.

Automation that touches allocation and the customer commit can’t be a black box. FactoryX acts inside its guardrails and files anything sensitive for sign-off — and the gate itself is a policy you set.

1

Grounded, not guessing

Every number traces to a live tool call into your systems; the model comes from your docs, never fabricated. Ask “why,” and it shows the source.

2

Human sign-off, by policy

Re-allocations and priority-customer calls file into the Decision Queue for a real approve/reject. AI proposes; a person decides.

3

Every decision, on the record

An immutable, time-ordered trail of every agent action, observation, and human decision — with the reasoning attached.

Dashboard / rules engine
FactoryX
Shows the number
Makes the call
You correlate the signal
Correlates it for you
Fixed rules & thresholds
Reasons over your policy
Breaks on the exception
Decides under the constraint
You watch the dashboard
It watches, and acts
S

Same engine as StudioX Core. FactoryX runs on the same AI Missions, Enterprise Knowledge layer, and 1,300+ integrations as every StudioX deployment — the same pattern that runs the resident lifecycle (ResidentX) and network operations (NetworkX), packaged for the line. Point the same interface at your real MES and test systems and the mission is unchanged.

The signal is already on your line — the correlating and deciding is still manual

The line runs itself. You run the factory.

Bring your yield and test data. Ask what’s at risk this week — and watch it correlate the line, name the constraint, and hand back a decision that’s ready to approve.

Grab a time that works — or text me directly: +1 408 203 5641.