Field data in. One decision per battery per week — for every stakeholder who depends on it.
Talk to us →Pack3401 degrading at −0.0077/week vs Pack3001 at −0.0013/week — a 6× gap invisible in the lab, confirmed across 27 batteries, 3 cities, 13 months. Attribution: operator charging 34%, commissioning 28%, IoT gaps 22%, calendar 16%. Warranty settled in 90 seconds. ₹11.2K liability — not ₹28.8K.
14 batteries flagged for unnecessary replacement. All 14 were NOT replaced. ₹5.6L avoided in one quarter. Knowing when not to act is worth more than knowing when to act. One action per battery per week. Replace, swap charger, monitor, nothing.
Default from the asset, not from credit. ₹2.8Cr collateral gap on a ₹12Cr book — decomposed in 12 minutes: 38% operator behaviour, 29% OEM design, 21% use case stress, 12% calendar aging. 8–12 weeks before first missed EMI. Not after the default. Before.
Cell imbalance alert firmware is disabled in most deployed Indian fleets to reduce nuisance alarms. The safety signal is turned off. enerlytik detects cell imbalance independently — without the BMS alert. 4.4km range overstated every trip. +5.5% SoC firmware bias confirmed across 179 batteries.
The same methodology quantitative traders use to detect structural breaks in equity markets — applied to your battery fleet. The signal existed for months. The BMS never saw it.
The same factor decomposition quant desks use for portfolio attribution — applied to battery warranty liability. SHAP R²=0.816. No dispute. No manual investigation.
Scoring runs every week across the full fleet. PELT detects regime changes. CUSUM flags drift. Conformal bands set confidence. enerlystAI delivers the action.
We work with a small number of partners.
No long commitment. Response within 48 hours.