Physics-informed battery diagnostics.
Translate raw telematics into bankable risk scores by modeling internal anode degradation and lithium plating in real time.
Raw diagnostic streams.
Our models ingest standard voltage, current, and temperature streams directly from the vehicle's battery management system, requiring no physical disassembly.
Model thousand-cycle degradation.
Our predictive physics-informed machine learning models simulate extreme thermal stress in milliseconds to calculate exact residual value risk.
Anode Degradation
Thermal Stress
State of Health
Outputs a bankable diagnostic score verified against rigorous physical laboratory testing and real-world fleet baselines.
Tracks microscopic lithium plating and physical structural decay within the cell chemistry under varying load profiles.
Simulates localized temperature spikes and high-draw fast charging cycles to map accelerated degradation behaviors.
Zero hardware footprint.
Integrate directly with existing fleet telematics platforms or standard OBD-II data streams. Our API processes raw telemetry and returns a certified health score in under ninety seconds.
Technical Parameters
Data Ingestion: JSON API payload or OBD-II telematics stream. Processing Latency: Under 90 seconds per vehicle. Security Standard: SOC 2 Type II certified data pipeline.