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Next-gen battery intelligence

Assessing your batteries’ quality and health in seconds, not days.

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Intelligent diagnostics for cells and batteries

Electrical Fingerprint (EFP)™ is a patented technology based on 10+ years of research. Together with the AI-powered diagnostics and analytics, it’s the fastest and most accurate solution for quality control and battery health analysis.

Choose your battery type
and diagnostic components

CeLLife captures the cell’s response to a patented, ultra-fast measurement signal.

Understand cell behavior like
never before

Electrical Fingerprint (EFP)™ turns the raw data into a unique representation of the cell.

Constantly improve your knowledge
and get precise diagnostics

The AI-powered cell-level anomaly detection and health estimation improve over time.

The future of battery diagnostics is here

Intelligent quality and health assessment for those that care about quality

A unique representation of the cell

Cell is represented in an Electrical Fingerprint and cell
behavior is clarified through advanced extraction algorithms

Non-linearity and dimensionality

CeLLife AI learns boundaries for good and
bad cells from reference data and enables accurate diagnostics.

Seamless integration with APIs

Modern and fast APIs and cloud dashboards
empower your always evolving analytics

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Applications

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Start using the fastest and the most accurate solution

Our technology can cover any chemistry, form factor, voltage or power, and retrieve 2000 data points assessing quality, performance, health, lifetime prediction, safety, and electrical properties in seconds.

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Second-Life Cell Technology

CeLLife has developed a model to refurbish Li-Ion battery cells on an industrial scale.

Our safe second-life battery technology tests cells for maximum quality, durability, performance, and affordability. Produced cells are more homogeneous than new ones.

With CeLLife Second-Life Battery Cell Technology, our clients can refurbish environmentally friendly Li-Ion battery cells that meet the ESG principles with less C02 emissions

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Circular Economy Transition Project
EN Co-funded by the EU_POS