Guarantee superior quality for your entire production

Deliver high quality products by testing your entire production

With just 2–5 seconds per test, you may cover your high-volume production on a daily basis. Our solution is suited for any kind of cell or battery and provides an accurate measurement with 2,000 data points per each test. CeLLife diagnostic solution offering is suitable for the entire battery lifecycle management.

Ensure your high-volume production meets the strict industry standards

Easily install CeLLife solution into your production or assembly line by customizing it to your unique needs at high level configuration. Define your battery types, your diagnostic components and train CeLLife AI to fulfill your specific requirements.

Constantly improve with the AI-driven diagnostics

Learn from your own operations by leveraging the smart predictions and insightful, easy-to-modify dashboards, helping to trace root causes. CeLLife AI powered-solution features advanced analytics for anomaly detection, defect severity analysis, and lifecycle tracking. Quickly perform tests and improve your products with comprehensive diagnostics and data. 

1. Configure CeLLife solution to production needs

Together with our experts, we help you install CeLLife solution to your production or module assembly line. While the measurement technique is always the same, the underlying CeLLife AI is fine-tuned to detect the most relevant defects, ensuring accurate and meaningful diagnostics.

2. Make informed data-driven decisions in real-time

CeLLife AI delivers instant diagnostic results for each cell on the production line, enabling data-driven decision-making. This rapid feedback ensures that only high-quality cells move forward. All measurement data is logged, providing a reliable foundation for process monitoring and quality control.

3. Identify and fix the underlying root causes

Beyond real-time diagnostics, CeLLife combines measurement data, diagnostic results, and your process data to identify trends and pinpoint inefficiencies. By analyzing these insights, production process parameters can be refined to improve overall battery quality and production efficiency