AI-powered health forecasting and complete lifecycle operations for EV and energy storage systems. Maximize performance, extend lifespan, ensure safety.
End-to-end solutions for battery health management, from predictive analytics to actionable insights.
Advanced machine learning algorithms predict State of Health (SoH) and Remaining Useful Life (RUL) with industry-leading accuracy. Anticipate degradation before it impacts performance.
Continuous monitoring of critical battery parameters with intelligent alerting. Detect anomalies instantly and receive actionable recommendations via our unified dashboard.
Maximize ROI through intelligent charge/discharge strategies, maintenance scheduling, and second-life assessment. Extend operational lifespan by up to 30%.
Our platform combines deep learning, physics-based models, and edge computing to deliver unparalleled accuracy and real-time responsiveness.
Combining data-driven and physics-based approaches for robust predictions
Low-latency inference on battery management systems for instant insights
Models improve over time with transfer learning and federated training
Optimize fleet battery health, extend warranty confidence, and provide drivers with transparent range predictions. Ideal for OEMs, fleet operators, and mobility services.
Maximize grid-scale storage ROI through predictive maintenance, cycle optimization, and capacity fade management. Essential for utility operators and renewable integrators.
Join leading EV manufacturers and energy companies leveraging Battery Hive for smarter, safer, and more sustainable battery management.