Material variability at scale
Incoming materials vary batch to batch in ways standard checks simply miss — and small differences compound into lost cells once production is running flat out.
Built for Gigafactories
Turn yield loss into yield gained
Gigafactories are where Digital DNA™ began — and where it delivers most. Real-time genomic quality control catches material problems before they ever enter production, so your factory learns from itself, shift by shift.
The Challenge
Invisible variability costs billions
At gigafactory scale, a 1% gain in yield is worth hundreds of millions. Most of what limits yield is invisible.
Root-cause archaeology
When a defect appears, tracing it back through siloed factory systems takes weeks — time in which the same bad batch keeps feeding the line.
Downstream recall risk
A bad cell that escapes the line can trigger a field recall costing far more than the scrap — plus the reputational damage that follows it.
How It Works
Genomic quality control, live on the line
Digital DNA™ fingerprints every incoming material batch, links it to your process data, and flags deviations in real time — turning raw factory data into decisions you can act on within the shift.
- Incoming-material screening — bad batches flagged before they enter production.
- Process linkage — coating and formation data tied to each cell.
- Live deviation alerts — problems caught in minutes, not weeks.
- Self-improving factory — every shift sharpens the models.
Technical detail
Each material batch is characterised against the reference genomic library and assigned a fingerprint. Streaming pipelines fuse that fingerprint with MES coating, pressing and formation data; deviation models flag out-of-distribution batches and cells with quantified confidence before they pass downstream.
Live Genomic QC
LIVE
Incoming materialBatch fingerprinted on arrival
Verified
Genomic scanMatched to reference library
Reading
Electrode coatingPorosity drift detected
Deviation flagged
Cell formationFormation parameters adapted
Corrected
Proven Outcomes
Impact at gigafactory scale
What genomic quality control delivers once it is running on the line — measured in the numbers your plant already tracks.
40%
Lower scrap rate
Catching bad material before it enters production keeps it out of finished cells — fewer rejected units, lower cost per good cell.
2×
Faster root-cause analysis
Every cell carries its full material and process history, so investigations that took weeks of cross-system digging close in days.
Zero
Silent field escapes
Deviations are flagged on the line, so a suspect cell is contained inside the factory instead of surfacing later as a costly field recall.
30%
Faster time to yield
New lines and new chemistries reach target yield sooner because the factory learns from each shift instead of starting cold.
Get Started
What is one point of yield worth to you?
Let's put a number on it. Book a walkthrough and we'll map genomic quality control onto your existing factory systems — and show you the yield, scrap and recall savings at your scale, with no obligation.