01 / predict
Remaining useful life
Forecast how many cycles each cell or pack has left, with a 90% interval, and plan maintenance before performance becomes a problem.
Battery data, made legible. Forecasts, made honest.
RevolAI Labs develops AI models that predict critical battery properties and how they evolve over time. Gain deeper insights into battery performance, with an intelligent AI agent to explore your data, answer questions, and identify the root causes of performance issues.
// What the platform does
From battery signals to better decisions.
Complex battery behaviour, made easier to understand, with insights that engineering, operations and asset-planning teams can act on.
02 / understand
Battery health
Track state of health and degradation trends across cells, packs, assets and operating conditions.
03 / flag
Early warnings
Surface the cells and packs ageing faster than expected, so teams start from evidence instead of guesswork.
04 / operate
One place for it all
Telemetry, model outputs and your own technical documents in one workflow, on one set of units.
// A clearer operating picture
Know what is happening. See what may come next.
Bring historical and live battery data into one view of asset health. Explore trends, compare groups and focus attention where it matters, without losing sight of the underlying data.
See the platform in actionrevolveai / battery overviewIllustrative data
Median state of health92.4%trend stable
Median predicted RUL842cycles90% PI 760–930
Packs to review07need attention
Health trend · sample pack grouplast 12 months
Concept preview · values are illustrative, not validated product results.
// Get in touch
Let's see what your data already knows.
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