Beat 01
Knowledge does not travel
A correction learned on one line stays on that line. The next fab rediscovers it, slowly, at the cost of the same scrap.
Enterprise
Standardise the loop across every fab
Multi-fab governance, custom process and defect models, fleet management and on-prem or air-gapped deployment.
- Multi-fab
- Custom models
- Air-gapped option
- Dedicated SLA
For display groups running more than one line
Gen-8.6 OLED fabFlexible OLED module lineAutomotive display makermicroLED pilot lineAR/VR microdisplay groupLTPS array fab
The problem at group scale
Two fabs, two different answers
Beat 02
Standards drift apart
Disposition criteria, bin rules and escalation paths diverge fab by fab until group-level yield reporting stops meaning anything.
Beat 03
Audits get expensive
Reconstructing why a panel shipped is a manual archaeology project when every site logs differently.
Beat 04
Rollouts stall
Without fleet management, each site upgrade is a project, so most sites stay on whatever version they started with.
# closed loop, one panel
perceive substrate → tft → emitter stack → sub-pixel
plan deposition · anneal · transfer · test/bin
act recipe write-back (SECS-GEM)
sense mura ΔL* · sub-pixel opens · particles
optimise yield · ramp · scrap
log immutable audit entry ✓ signed
retrain engineer correction → model
Group rollout
How multi-fab adoption runs
Standardisation happens after proof, never before it.
Step 1 of 6 · prove
Prove on one line
A single wedge workflow with an agreed metric.
Step 2 of 6 · template
Template the deployment
Connectors, agent config and gates captured as a reusable site template.
Step 3 of 6 · replicate
Replicate to the second fab
The template deploys; the models adapt to local tools and labels.
Step 4 of 6 · govern
Govern centrally
One policy for autonomy gates, approvals, retention and escalation.
Step 5 of 6 · fleet
Manage the fleet
Versioned rollout, staged canaries and one-click rollback across sites.
Step 6 of 6 · learn
Learn across sites
Model improvements travel; recipes and panel designs never leave their tenant.
Enterprise capabilities
What group scale adds
Multi-fab governance
One autonomy and approval policy, applied per site with local exceptions.
Custom models
Process, defect and yield models trained on your products and dispositions.
Fleet management and OTA
Staged rollout, canary sites and instant rollback.
On-prem or air-gapped
For sites where nothing may leave the plant network.
Dedicated support and SLA
Named engineers, defined response times, escalation into your on-call.
Security review support
Architecture documentation and evidence for your IT/OT process.
Governance model
Who decides what
Central policy, local exceptions, one audit trail.
| Decision | Set centrally | Adjustable per fab |
|---|---|---|
| Autonomy gate thresholds | Yes | Tighter only |
| Approval roles | Yes | Site role mapping |
| Audit retention | Yes | Longer only |
| Model rollout schedule | Yes | Canary opt-in |
| Disposition criteria | Baseline | Product-specific |
| Connector configuration | Template | Local tools |
Commercials
Land $700k to $8M ACV, expand on evidence
Enterprise agreements start from a proven line and price against tools, lines and fabs — units your finance team already counts. Expansion is written against measured outcomes rather than seat forecasts.
- Custom pricing anchored to Line and Fab metrics
- Expansion tied to agreed success metrics
- Multi-year terms with published upgrade paths
# closed loop, one panel
perceive substrate → tft → emitter stack → sub-pixel
plan deposition · anneal · transfer · test/bin
act recipe write-back (SECS-GEM)
sense mura ΔL* · sub-pixel opens · particles
optimise yield · ramp · scrap
log immutable audit entry ✓ signed
retrain engineer correction → model
Enterprise systems
Beyond the tool floor
Fab systems
MESSECS-GEM / HSMSYield managementHistorian / OPC-UASSO and identity
Notification and workflow
TicketingShift handoverAlertingReporting surfaces
Deposition, litho and encapsulation
Vacuum depositionInkjet/TFE encapsulationPhotolithographyOverlay metrologyChamber telemetry
Anneal and TFT process
Excimer laser annealThermal annealVth metrologyLTPS/oxide array
Rollout
A realistic group timeline
Times assume tool access, data readiness and a named executive sponsor.
- Quarter 1
First line proven
Shadow to advisory on one wedge workflow.
- Quarter 2
Fab deployment
Full loop on the proven fab, twin included.
- Quarter 3
Second site
Site template replicated; local models adapted.
- Quarter 4+
Group standard
Central governance, fleet management and cross-site learning.
Voices from the line
What the fab floor tells us
“We do not lose panels because nobody is watching. We lose them because the signal that mattered was buried under a thousand nuisance calls.”
“Ramp is the whole game. If a new product takes two quarters of manual tuning, that is two quarters of margin we never get back.”
“Transfer yield is our ceiling on microLED. Every dead emitter is a repair cycle or a scrapped backplane.”
Quotes are illustrative composites drawn from discovery interviews with process-integration, yield and quality engineers. Named references are [PLACEHOLDER] pending design-partner consent.
The economics
What the loop is measured on
Emiteon is priced and evaluated on the numbers a fab already reports. These are design-partner targets for the first twelve months of deployment.
$26BDisplay-fab automation, process control, inspection, test and fab software market
~14%Annual growth in the segments Emiteon plays in
135%Net revenue retention target from land-and-expand
99.9%Uptime target for the fab edge runtime
Figures marked as targets are design-partner objectives, not audited results. Company operating status, customers and outcomes are [ASPIRATIONAL] until independently verified.
FAQ
Questions fabs ask first
Through three gates. Shadow mode observes and predicts with no write-back; advisory mode recommends recipe, transfer and binning moves that a process-integration or yield engineer approves; graduated autonomy releases low-risk deposition, anneal and transfer control once measured accuracy and twin validation clear the bar. High-impact decisions stay human-in-the-loop.
Reducing false calls is the wedge, not a side effect. The mura-and-defect agent is trained on true-versus-false-call labels from your own inspection history, so it separates genuine large-area non-uniformity, sub-pixel opens and shorts, particles and stains from nuisance signals, and every call is traceable to the evidence behind it.
Per-tenant isolation with recipes, panel designs and defect images scoped to your tenant, encryption in transit and at rest, SSO/RBAC, an immutable yield/quality-grade audit log and an on-prem or air-gapped option. Fleet learning shares model improvements, never your recipes.
Deposition, photolithography, encapsulation and anneal tools, Mura/AOI inspection and metrology, array and cell test, mass-transfer and repair stations, robotic handling and MES — vendor-neutral via SECS-GEM/HSMS where the tool supports it, with REST and OPC-UA bridges elsewhere.
Every pixel, perfectly uniform.
Standardise on evidence, not on a mandate
We will help you build the internal case with numbers from your own line.