By the time you see it, you've already lost the material
Formation and aging mean your quality signal arrives weeks after the upstream cause. Every event carries hidden committed cost.
Built for
The problem
Defect risk becomes expensive when plant teams can't turn scattered process, lot, equipment, and quality history into timely action.
Formation and aging mean your quality signal arrives weeks after the upstream cause. Every event carries hidden committed cost.
MES, historian, SPC, QMS, shift notes — the data is there. Getting it to line up around a specific defect event is the actual engineering problem.
Before your team can investigate, they have to reconstruct what happened across five systems. That's hours per event, every time.
Pilot motion
Lychee scopes a tight first pilot — one line, one defect family, one KPI — so plant teams can evaluate fast.
0 days
From historian credentials to first prediction
Historian, MES, and lot context connected, validated, and surfacing risk on real lots.
0 weeks earlier
Than your current process catches them
Defects flagged from coating-and-drying signals before formation confirms — the gap where scrap and cycle time compound.
The record
Independently validated on six public benchmarks across four chemistries — one hybrid model, no per-chemistry retuning.
8.9%
Median error · LFP
Beats the Nature Energy gold standard (9.1%)
30–150×
More accurate
vs Amazon’s Chronos foundation model
4.3%
Sodium-ion · first ever
First published Na-ion cycle-life result
The workflow panel
A live operations view of the line: ranked-risk queue across lots and chemistries, drift-flag chart with confidence and lead-time, likely upstream drivers, and a recommended next step.
Team and advisors from
Next step
Start with one line, one defect family, and one KPI.
Scope A PilotShare the short overview with technical, manufacturing, or investment stakeholders.
Download 1-pagerSeverson 2019 (Nature Energy) primary split: Lychee’s 8.9% median APE beats the published 9.1%. Chronos comparison and per-chemistry methodology reported transparently on /benchmarks.