The battery is the new engine. It plays by different rules.
The industry had a century to master the engine. Batteries degrade quietly and fail in ways no manual covers. IonPulse detects anomalies early, explains why they matter, quantifies their impact, and helps teams make the right decisions.
Who We're Building For
Purpose-built for battery risk intelligence
Automotive OEM
Battery pack design through second life. Track field degradation and reduce warranty exposure across vehicle programs.
EV fleet managers
Commercial and passenger EV fleets. Predict degradation, plan replacements, maximize residual value.
The Problem
Sound familiar?
Battery risk intelligence is stuck in the dashboard era.
Fragmented
Your BMS data, telematics, vehicle logs, and field service reports live in different systems. You're building the picture manually, and missing what falls between the gaps.
Reactive, not predictive
Every incident is a fire drill. You learn about thermal events and cell failures after downtime has already started. Warranty claims pile up.
No financial visibility
You can see a cell is degrading, but you can't answer: 'What is this costing us per day?' or 'What's the ROI of intervening now vs. waiting?' Every maintenance decision is a guess.
What IonPulse Does
Risk intelligence that acts, not just alerts
Full-lifecycle monitoring
Health and performance of batteries from first deployment through second-life assessment. One unified view.
Agentic action engine
Detect anomaly → diagnose root cause → execute series of actions defined in playbook → verify resolution. No manual handoffs.
Financial impact layer
Every alert shows revenue at risk, repair-vs-replace cost, and warranty exposure. Every prediction carries a confidence score.
Explainability
See why each anomaly was flagged, reasoning behind the prediction, and the model's historical accuracy — not a black box.
Second-life grading
Health grading and certifiable reports for retired batteries — know which packs can be remarketed and where they'll perform best.
Fast time-to-value
Connect your data source and see initial insights in weeks, not months. Plug and play integration.
How It Works
Your agentic AI — from detection to resolution
Anomaly detected
Cell 47 in Module 12 shows abnormal self-discharge pattern.
Root cause diagnosed
AI identifies early-stage lithium plating. Confidence: 94%.
Financial impact calculated
Estimated revenue at risk: $2,400/day. Warranty claim value: $18,000.
Action triggered
Charge rate reduced via BMS API. Maintenance ticket created in CMMS.
Resolution verified
Self-discharge normalized within 48 hours. Case auto-closed.
This is a single automated playbook. IonPulse runs hundreds simultaneously across your fleet.
Why IonPulse
What others monitor, we mitigate
Current solutions
Dashboard alerts you need to interpret manually
No link between battery health and financial impact
Weeks of professional services to get started
AI predictions with no explanation or confidence scoring
Retired batteries assessed ad-hoc or not at all
IonPulse
Agentic playbooks from detection through resolution
Every alert tied to revenue at risk and ROI of intervention
Fast time-to-value — initial insights in weeks, not months of integration
Prediction with reasoning
Automated second-life grading and certification
Let's Talk
Request a demo
Explainable by design, calibrated to act on. Request a demo for your battery program and we'll be in touch within 24 hours.
Tell us about your fleet size, chemistry, and what risk keeps you up at night. We'll show you what IonPulse can do.