The gigafactory yield playbook
A step-by-step approach to diagnosing where your yield is actually lost, module by module.
Read the notePractical material for process, quality and plant leaders — whether or not you ever become a customer.
A step-by-step approach to diagnosing where your yield is actually lost, module by module.
Read the noteWhat evidence a quality team should demand before arming an autonomous control envelope.
Read the notePer-cell protocols, scheduling and grading, with the qualification implications spelled out.
Read the noteAnonymised ranges across NMC, LFP and silicon-anode lines at each stage of ramp. [PLACEHOLDER]
Read the noteWhere scrap value concentrates by module and what the top quartile does differently.
Read the noteDistribution of ramp durations and the practices correlated with the fastest quartile.
Read the noteModel the annual value of first-pass-yield points on your line, by volume and cell value.
Allocate scrap to modules and root causes in a consistent, auditable way.
Compare a conventional ramp against a twin-led commissioning plan.
Assess whether your line, data and quality process are ready for control authority.
Map your coating, inspection, formation and MES systems before an assessment.
Structure autonomous change records for IATF 16949 and customer audits.
Model structure, calibration against as-built lines and measured control performance.
Read the noteCombining inline CT, surface vision and process telemetry to raise recall on rare failures.
Read the noteSharing rare-failure priors without exposing recipes, images or cell-level records.
Read the noteUsed by process and quality teams across the industry [PLACEHOLDER]
Manufacturing claims fall apart when definitions drift. These are ours.
| Term | Definition |
|---|---|
| First-pass yield | Cells passing all quality gates without rework, as a share of cells started |
| Control envelope | The setpoints, ranges and conditions under which an agent may act without a human |
| Autonomy level | Shadow, advisory, bounded control, supervised autonomy or full autonomy |
| Cell genealogy | The graph linking a finished cell to every material, machine and setting that made it |
| Twin validation | Passing a scenario set in the as-built digital twin before an envelope is armed |
| Escape | A defective cell that passes end-of-line test and reaches the customer |
“We were stranded at 63% first-pass yield for five months. Anodela ran in shadow for six weeks, then took bounded control of coat weight and drying. We crossed 91% in the next quarter.”
“It reads our CT and vision streams the way a great process engineer does — except it does it on every metre of web, on every shift, and it writes the correction back before the defect becomes scrap.”
“The audit trail was what got quality to yes. Every proposal, approval and executed setpoint is linked to cell genealogy, so our IATF evidence got stronger, not weaker.”
Cell manufacturing is safety-critical and IP-dense. Anodela is designed so quality, IT/OT and EHS approvers can say yes.
SOC 2 Type II program with encryption in transit and at rest, SSO/SAML, SCIM and RBAC down to the line.
Chemistry, coat-weight and formation recipes stay in your tenant. Optional fully on-prem deployment with no egress.
Every perception, proposal, approval and executed setpoint change is immutably logged for IATF 16949 and IEC 62660 evidence.
EU, US, Korea, Japan and China-domestic regions, or air-gapped factory edge for sovereign programs.
Yes. Most require only an email so we can send updated versions when the benchmarks change.
Anonymised, aggregated data from design partners plus public industry sources, with the method documented in each publication. [PLACEHOLDER]
Please do, with a link. Tell us if you find an error and we will correct it publicly.
A line assessment produces a modelled ROI range specific to your chemistry, volume and baseline.