One lifecycle decision per pack — from the charging data your fleet already produces. No new hardware. No ride data. No migration.
Runs on your own fleet numbers, in your browser — no form, no sign-up. Prefer to talk? roman@chargewisp.com
Held-out-cell testing throughout. Readings the reliability gate can't stand behind are reported as "not enough signal" — never silently scored.
Most light-EV fleets make it on a rule of thumb — pack age, one voltage reading, a technician's gut. Put your own numbers in and see what those calls are worth over a year.
Drag anything — the numbers update as you go. The defaults are placeholders, not claims about your fleet. Nothing is sent anywhere; the arithmetic runs in your browser.
Riding on those calls, per year
€10,500 – 36,000
across 300 keep-or-retire decisions. For scale, replacing those packs costs you about €135,000 a year.
Not counted here: wrong “keep” calls — roadside failures, dead packs at swap stations, the warranty argument afterwards. Those cost real money too; we won't invent a number for them.
Plain arithmetic on your three inputs and published industry figures. None of it is a ChargeWisp result — there are no customer case studies yet. It sizes the problem; it doesn't promise a fix.
Ranges, not point estimates, because real figures vary by chemistry, format and market. Public pricing and case data collected 2026-07-20. The only way to get your actual number is to run the model against your own packs — that's what the free fit-check is.
Market-discovery conversation — no pitch, no data asked for on the call.
Pick your operation — the pitch adapts:
In a pooled network the packs get cycled hard and their individual histories blur together — so knowing when to pull, repair or retire one is genuinely tricky.
Most of the repair-or-scrap call happens once a pack is already on your bench — after you've paid to get it there.
Batteries are one of your biggest recurring costs, yet "is this pack done?" usually comes down to rough rules. Some good packs get scrapped early; some tired ones fail out on the street.
Swap networks and pooled fleets can't tell you a pack's life story — and most analytics tools give up right there. ChargeWisp is cold-start capable: it reads health from the signals a pack produces today. That's the case it was designed around, not an afterthought.
See how the fit-check worksReal fleets don't produce neat 0-to-100% reference cycles — they produce interrupted, partial charging. ChargeWisp is trained on exactly those windows: even a short slice near the end of a charge carries most of the usable signal.
Check whether your data qualifiesA wrong "recycle" throws away €100–400 of remaining value; a wrong "keep" risks a failure in the field. So you get the decision — keep, monitor, reassign, repair, second-life, recycle — with a confidence flag, and an honest "not enough signal" when the data can't support one.
What a wrong call costsCharger-side signals only — voltage, current, temperature, timestamps. No rider data, no locations, no customer records; hash the pack IDs if you like. Whatever you send is used only to evaluate the model for you, never shared, and deleted on request.
Read the data questionsHow does your team decide today when a pack gets pulled, repaired or retired? That's the whole first step — a conversation, not a pitch.
1–3 months of charge logs for 20–50 packs (anonymized is fine), plus whatever you know about their real condition: packs you later opened, repaired or scrapped.
A per-pack routing report with confidence flags, checked against your own ground truth. Free — because your verdict on it is the market research.
Step 1 costs you 15 minutes and no data.
Held-out-cell testing means the model is trained on some cells and scored only on cells it has never seen — the honest version of accuracy, and the standard behind every number on this page.
Validation currently spans nine public aging datasets — 793 cells across the chemistries and formats light EVs actually use — with a reliability gate that quarantines the readings it can't stand behind rather than scoring them silently.
Developed independently by Roman Shaposhnikov — battery state-of-health modeling work spanning physics-based and gradient-boosted approaches. Currently in market-discovery: the point of this page is a conversation, not a sale.
1 · What are your packs, roughly?
2 · Do you log voltage / current / temperature per charge session?
3 · Do you know the real condition of some retired packs (opened, repaired, capacity-tested, scrapped)?
A per-pack routing report — keep / monitor / reassign / repair / second-life / recycle — with a confidence flag per pack, checked against whatever real outcomes you can share. Yours to keep either way.
Standard charger-side logs: voltage, current, temperature, time, at a usable cadence. 1–3 months across 20–50 packs is enough for a fit-check, and anonymized exports (hashed pack IDs, no rider or customer data) work fine. Partial sessions are fine too — that's what it's built for.
No. It runs on exported logs. No hardware, no firmware changes, no platform migration.
Used only to evaluate the model for you, never shared, deleted whenever you ask — and anonymized exports are actively preferred: the model doesn't need to know who rode what, only how packs charge. If your process requires an NDA, send yours — we'll sign it.
The fit-check is free. Paid pilots are scoped per fleet — the design target is a fixed price an ops manager can approve without a procurement round. Pricing is deliberately being validated in these conversations, which is exactly why the first step is a call, not a quote.
Fleets that don't log charging data at all — the model needs something to read. And anyone who wants a full fleet-management dashboard today — this is a decision layer, not a platform. Passenger-car packs aren't the first target (the model is trained on light-EV cell families first), but the approach adapts — if that's you, it's still worth the call.
From 18 February 2027, e-bike and e-scooter batteries placed on the EU market need a digital passport carrying state-of-health data. ChargeWisp's outputs are designed to feed those fields — if that deadline is on your roadmap, it's worth 15 minutes now.
15 minutes, no pitch, no commitment — and if it's useful, a free read on a sample of your own packs afterward.
Selling into the EU? From 18 February 2027, e-bike and e-scooter batteries need a digital passport carrying state-of-health data — ChargeWisp's outputs are built to feed those fields.
Book a 15-minute callOr just write: roman@chargewisp.com
Not ready for a call? Leave an email and I'll send the one-page credibility sheet — nothing else, no list, deleted on request.