Beat 01
Scoping call
Thirty minutes on the workflow, the tools involved and the metric. No slides unless you want them.
Contact
Talk to the design-partner team
Tell us the workflow and the number it costs you. We will tell you honestly whether the loop can move it.
- Design partners
- Security review
- Partners
- Careers
Get in touch
Start with the wedge workflow
The fastest conversations start with a specific line, a specific loss and a number someone already reports.
- Shadow-mode instrumentation on one wedge workflow
- Baseline measurement of yield, false calls and ramp time
- Paid pilot with a single agreed success metric
What happens next
The first four conversations
Beat 02
Technical review
With your process, yield and equipment engineers — what signals exist, what interfaces are available and what governance applies.
Beat 03
Security review
Your IT/OT and IP teams get the architecture documentation before anything is installed.
Beat 04
Pilot proposal
Written scope, baseline method, success metric, timeline and conversion terms.
# 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
Who to contact
Route your question
Design partnerships
Fabs wanting to run a scoped pilot on one wedge workflow.
- hello@emiteon.com
Security and IT/OT
Architecture documentation, questionnaires and air-gapped deployment.
- security@emiteon.com
Partners
Equipment OEMs, inspection vendors, integrators and channel.
- partners@emiteon.com
Careers
Roles across perception, control, robotics, simulation and field.
- careers@emiteon.com
Press
We will not confirm a customer name without their written consent.
- press@emiteon.com
Support
For deployed design partners, with your named engineer on the thread.
- support@emiteon.com
Preparation
What helps us help you fast
None of this is required, but each one shortens the path.
Step 1 of 6 · line
The line
Type, generation and products running on it.
Step 2 of 6 · loss
The loss
The number you already report and what it costs.
Step 3 of 6 · tools
The tools
Which tools and inspection systems are in scope.
Step 4 of 6 · data
The data
What historical inspection and process data exists.
Step 5 of 6 · governance
The governance
Who has to approve a connector and a write-back path.
Step 6 of 6 · date
The date
When you would want a decision.
Response times
What to expect
We are a small team and we answer everything ourselves.
| Enquiry | Typical response |
|---|---|
| Design partnership | Within two business days |
| Security questionnaire | Within five business days |
| Partner enquiry | Within five business days |
| Careers | Within one week |
| Press | Within two business days |
| Deployed-partner support | Per your SLA |
Before you write
Three things worth knowing
We would rather set expectations now than in the third meeting. Emiteon is at design-partner stage, pilots are paid, and we will not show you another fab's data.
- Design-partner stage: status and metrics on this site are aspirational until verified
- Pilots are paid and time-boxed with one agreed metric
- No customer data or names shared without written consent
# 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
Before the call
Things people 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.
Meanwhile
Read while you wait
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.
One workflow, one metric, one decision date
That is all a first engagement needs to be.