Edge AI on every vehicle. Machine learning across every fleet. A single health score, predictive alerts, and remaining-life forecasts — for every pack you operate.
Every cell, sampled continuously. Thermal events caught locally — no cloud round-trip. Safety stays on the pack, not in the network path.
Continuously retrained on every event, every mile. Every vehicle teaches every other vehicle — models that get smarter the more pack-data the fleet generates.
A single pack-health score. Predictive alerts days to weeks ahead. Remaining-useful-life forecasts to the month — replace failures-in-the-field with planned maintenance.
A single pack-health score. Predictive alerts days to weeks ahead. RUL forecasts to the month.
Catch cell-level issues 7–21 days ahead. Replace failures-in-the-field with planned maintenance. Extend pack life past contract assumptions.
On-vehicle AI responds to thermal events in milliseconds. No cloud round-trip. No connectivity dependency. Safety stays on the pack — even in tunnels and dead zones.
Every vehicle's data improves every other vehicle. Continuous retraining. Models that get smarter every mile across the fleet — and across deployments.
"Any battery health concerns across the BEV fleet?" — Wayne pulls every pack score, every recent thermal event, every kWh/mi outlier, and answers in one sentence.