Built for the people who live with battery data.
Whether you make cells, test them or run them in the field, the question is the same: which ones should I worry about, and how sure are you?
Catch a drifting batch at formation, not in the field.
Formation and ageing data by line, batch and time window, with early warning when a batch starts to look different from the ones before it.
Read more ↓Compare chemistries without rewriting parsers.
Results from every cycler side by side on the same units and conventions, so a protocol change is the only thing that changes.
Read more ↓Know which packs need attention this week.
Pack-level health across hundreds of assets, ranked by what needs a decision, with the evidence behind each flag.
Read more ↓Find the batch that is drifting while it is still on site.
Formation and ageing produce some of the richest data a cell will ever have, and most of it is read once and archived. RevolveAI keeps that data comparable across lines, batches and months, so a shift in capacity, self-discharge or impedance shows up while the cells are still in the warehouse rather than in a warranty claim.
- Formation cycling data: voltage, current, temperature per cell
- Ageing and rest data, including open-circuit voltage over time
- End-of-line test results and grading
- Batch, line and material lot identifiers
- One view of production data by line, batch and time window
- A signal when a batch starts to differ from the ones before it
- Early-life health estimates per cell, each with a 90% interval
- Every flag traceable back to the rows that raised it
Spend the week on the experiment, not on the export.
A typical lab runs several cycler brands, each with its own units, sign conventions and file layouts. RevolveAI handles that once per source, so results from every rig land on the same schema. Comparing two protocols or two chemistries then means comparing the data, not reconciling it first.
- Cycler exports from Arbin, Neware or in-house rigs
- Cycle summaries and full time-series
- Impedance and internal-resistance measurements
- Test plans, datasheets and reports for the copilot to search
- Every cycler on the same units, sign convention and UTC clock
- Columns we don't recognise kept, not dropped
- Remaining-life forecasts from early cycles, with intervals
- Answers from your own documents, with the passage cited
Plan replacements before they turn into outages.
Operators running vehicles or storage sites have plenty of BMS data and little time to read it. RevolveAI turns pack telemetry into a ranked list: which assets are ageing faster than expected, how much life each one has left, and how sure the estimate is. That makes maintenance and replacement something you schedule rather than react to.
- BMS or telematics data: pack voltage, current, state of charge
- Minimum and maximum cell voltages and temperatures
- Asset identifiers such as VIN or pack serial
- Operating context: site, duty cycle, climate
- State of health for every pack, banded so outliers stand out
- Remaining useful life per asset, with a 90% interval
- A ranked list of packs that need a decision this week
- The trend and data behind each flag, ready to share
Let's see what your data already knows.
We're working with a small number of partners. Send a representative file and the question you most want answered. We'll show you what RevolveAI makes of it.