Finding hidden faults
behind EV battery failures.
Finding hidden faults
behind EV battery failures.
Powered by ai
Complete battery pack diagnostics in 2 minutes.
2 minutes.
01 | Scan
01 | Scan
Mechanical vibration analysis looks beyond battery cells to detect faults across the entire pack.
02 | Detect
02 | Detect
Data engineering extracts unique vibration signatures to find critical issues missed by other methods, covering mechanical failures and integration issues.
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03 | Diagnose
03 | Diagnose
Deep learning model correlates signatures to complex failure patterns, from loose fasteners to scratched enclosure, to convert scan data into a clear report.
Clear diagnostics.
Actionable insights.
Reliable data.
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Detectable with EVident Battery
Mechanical Failures
Internal structural components damage, enclosure scratches, dents, punctures, scrapes that compromise system integrity and durability.
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Detectable with EVident Battery
Integration Failures
Assembly misalignments, joint degradation, and sealing breaches impacting pack cohesion and environmental protection.
Monitored by BMS
Electrical Failures
Cell degradation, battery management system malfunctions, and circuit or fuse failures affecting proper cell charging and discharging functionality.
Built for every stage of the EV lifecycle.
Manufacturers
Spot defects earlier, cut QA costs, and boost production confidence.
Dealerships
Price accurately with instant battery diagnostics you and your customers can trust.
Insurance
Settle claims faster, with independent, evidence-backed insights.
Discover a faster and more reliable way to diagnose EV batteries.
Easy Deployment
Fully automated inspection with no need for specialized EV technicians, training, or a controlled environment.
Cost-Effective
Only $40 per inspection — a fraction of the cost of deep battery diagnostics.
Two-Minute Results
Generates a comprehensive EV battery assessment and health report.
Non-Destructive Insights
Delivers accurate results without dismantling or damaging the battery.
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