On-site EIS testing for used EV and industrial batteries — analysed with AI, and documented so what a battery is actually worth stops being a guess.
We come to the battery, run a multi-frequency EIS scan on-site, and hand back a documented health profile — degradation patterns, safety flags, and a State of Health you can act on. Independent of the seller, the BMS, or a prior verdict from somewhere else.
A portable rig connects directly to the pack or module — no disassembly, no shipping, no lab queue.
DRT and AI-driven analysis surface specific degradation and safety signals, not just one SoH figure.
EIS reads the cell's own electrochemistry directly, so the result holds up even when BMS history is thin or missing.
Tell us which of these is closest to you.
In-depth EIS diagnostics at intake — documented, independent, and detailed enough to underwrite the modules going straight into your production line.
Talk to us about a partnership →On-site testing, no removal or shipping required, so the answer comes to the battery instead of the other way around.
Get in touch →Independent, cell-level condition data for valuation models, risk assessment, or research — wherever a trustworthy read on battery health matters to your work.
Talk to us →An on-site diagnostic rig connects to the pack or module where it already is — no disassembly, no lab transfer.
A multi-frequency EIS sweep runs in under a second per module, across chemistries.
DRT deconvolution and AI pattern recognition flag specific degradation and safety risks — including early signs like lithium plating.
A structured report is issued, built toward EN 18061 alignment and the EU Digital Battery Passport data format.
Read the technical detail — EIS, DRT and AI pattern recognition →
If you're integrating, repurposing, or operating batteries at scale, tell us what a diagnostic like this would need to solve for you.
