Formation Intelligence

Know which cells will fail — 40 minutes before they do.

Moldpathio reads formation cycle signals in real time and surfaces defective battery cells before they leave the chamber. Gigafactory line managers get the head start to adjust process parameters, not scrap trays.

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Abstract formation cycle telemetry waveforms with teal anomaly highlight against deep navy background

Deployed at early-pilot gigafactory lines — customer names confidential per NDA

North American gigafactory 4 GWh cylindrical cell lines
European cell manufacturer 72-cell prismatic format, pilot scale
Asian Tier-1 supplier US greenfield ramp line

The Formation Quality Problem

End-of-line testing catches defects too late.

Formation cycling is the most expensive step in cell manufacturing. A defective cell discovered at final QC costs 14× more to remediate than one caught in the chamber. But current SPC systems alert after 50+ cells are already bad.

0h 1h 2h 3h 4h 6h EOL Traditional SPC Defect at T+0 50+ cells affected silently Alert @ EOL → Scrap 50+ cells Moldpathio Defect at T+0 Alert @ T+1h40m 3–4 cells Adjust parameters → $0 fix cost 40 min earlier warning 3–4 vs 50+ cells

How Moldpathio Works

Formation telemetry → ML signal → actionable alert

Formation Cycle Ingest

Connects to your formation cycler's data output (CANBUS, Ethernet, or file export). No hardware installation. Reads voltage, current, temperature, and capacity at 1-second resolution.

Anomaly Signal Extraction

Our ML model — trained on 200 M+ formation cycles — decomposes each cell's signature into 40+ feature vectors. Detects lithium plating, separator integrity issues, and electrolyte distribution variance.

40-Minute Early Alert

Moldpathio fires a tray-level alert with root cause taxonomy before the formation cycle completes. Line managers get process adjustment guidance, not just a defect flag.

Yield Trend Dashboard

Real-time formation yield by tray, shift, and formation channel. Identifies systematic drift before it compounds. Exportable CSV for downstream MES integration.

40 min average early warning lead time vs. EOL testing
~3–4 cells median cells affected when alert fires vs. 50+ with SPC
200 M+ formation cycles in training data
< 1% false positive rate at default sensitivity threshold

We were scrapping 8–12 trays per shift on one of our 72S formation channels. Moldpathio identified the root cause as electrolyte fill variance on that channel within the first week of pilot. The fix cost us $0 — just a process adjustment. That's six figures of scrap prevention in 30 days.

Process Engineering Lead North American cylindrical cell manufacturer, 3.2 GWh annual capacity

Ready to run a formation pilot?

We connect to your existing formation cycler infrastructure in under a day. No hardware. No data migration. Just insight.

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