Pricing
Per tool or inspection line, per fab, or a custom enterprise agreement. No seat counting in a building where the value is measured in panels.
Plans
Land on one workflow with a hard success metric, then expand tool by tool, module by module, fab by fab.
$16,000
per tool or inspection line / month
Panel makers validating ROI on the wedge workflow.
$110,000
per fab / month
Scaling fabs adopting the full closed loop.
Custom
land $700k–$8M ACV
Panel makers and display groups standardising on Emiteon.
Priced for high-volume panel manufacturing
Philosophy
Beat 01
Value accrues per tool, per line and per fab. Charging per seat would punish exactly the engineers we want using the review console.
Beat 02
A Line deployment is deliberately small enough to approve without a board paper and large enough to produce a defensible number.
Beat 03
Adding a tool is a line item, not a renegotiation. That is what makes 135% net revenue retention a realistic target rather than a hope.
Beat 04
Group agreements land between $700k and $8M ACV depending on fabs, lines and model customisation.
# 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
Comparison
The governance layer is identical on every tier.
| Capability | Line | Fab | Enterprise |
|---|---|---|---|
| Price | $16,000 / tool or line / mo | $110,000 / fab / mo | Custom |
| Agent families | One | All seven | All seven + custom |
| Digital twin | — | Included | Included |
| Autonomy gates | Shadow, advisory | All three | All three |
| Immutable audit | Included | Included | Included |
| Multi-fab governance | — | — | Included |
| On-prem / air-gapped | — | Optional | Included |
| Support | Standard | Standard | Dedicated |
Getting to a number
We would rather scope honestly than discover the scope during the pilot.
Step 1 of 6 · workflow
One wedge workflow with a metric you already report.
Step 2 of 6 · count
Tools or inspection lines in scope for Line; fabs for Fab.
Step 3 of 6 · baseline
Measured before shadow mode starts, with your data.
Step 4 of 6 · pilot
Paid, time-boxed, with a single success metric.
Step 5 of 6 · convert
Conversion terms written before the pilot begins.
Step 6 of 6 · expand
Adjacent tools at the same unit price.
Included
Offline-capable execution beside the tools.
Unlimited engineer access — no per-seat charge.
Quality-grade records from day one.
SECS-GEM/HSMS, OPC-UA, REST and MES integration for the in-scope tools.
Versioning, staged rollout and rollback.
Instrumentation and baseline measurement with your team.
ROI
A single avoided excursion on a Gen-6 line, a week removed from a ramp, or a meaningful cut in nuisance calls will usually clear a Line subscription on its own. We will build the model with your numbers, not ours.
# 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
Pricing FAQ
Yes. A paid, time-boxed pilot with one agreed success metric keeps both sides honest and gets the internal sponsorship a free trial never does.
A tool set or inspection line that the in-scope agent reads from and writes back to. We agree the count in writing before the pilot.
No. Every engineer who should see a call should be able to see it.
Number of fabs and lines, degree of model customisation, deployment mode (cloud, on-prem or air-gapped) and support level.
Voices from the line
“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
Emiteon is priced and evaluated on the numbers a fab already reports. These are design-partner targets for the first twelve months of deployment.
Figures marked as targets are design-partner objectives, not audited results. Company operating status, customers and outcomes are [ASPIRATIONAL] until independently verified.
FAQ
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.
Tell us the workflow and the unit count; we will come back with a number and the success metric we would sign up to.