Pen-AI™

AI Powered Virtual 3D Vision for Battery Electrode Manufacturing

What is Pen-AI™?

Pen-AI™ is an advanced AI based image analysis platform that converts standard 2D optical images into a virtual 3D understanding of battery electrode structures.
Using machine learning and deep learning algorithms, Pen-AI analyzes electrode microstructures and estimates key physical properties such as porosity, tortuosity, and structural uniformity.

Key Capabilities

Virtual 3D Structure Analysis
Pen-AI™ reconstructs a virtual three-dimensional representation of electrode structures using standard 2D optical microscope images.

Microstructure Intelligence
The platform calculates critical electrode parameters including porosity, tortuosity, and particle distribution.

Performance Prediction
Pen-AI™ correlates electrode structure with battery performance indicators such as cycle life, impedance, and rate capability.

In-Line Manufacturing Integration
The system operates during electrode manufacturing to support real time quality monitoring and process optimization.

Why Pen-AI?

Traditional structural characterization often requires expensive or time-consuming 3D measurement techniques.

Pen-AI™ provides a faster alternative by extracting structural insight directly from surface images.

• Converts simple 2D images into actionable 3D structural insight
• Provides rapid evaluation of electrode quality during manufacturing
• Enables early prediction of battery performance
• Reduces reliance on expensive and time consuming tomography techniques

What can Pen-AI do?

Pen-AI is currently being evaluated for applications in battery electrodes and other advanced materials.

Pen-AI harnesses artificial intelligence and advanced computer vision to analyze battery electrodes as they're manufactured. By processing 2D image data through our proprietary algorithms, we predict critical electrode properties like electrode porosity, tortuosity, wettability, impedance and downstream battery performance with unprecedented accuracy. This inline quality control system enables manufacturers to optimize processes, reduce waste, and ensure consistent performance—all in real-time

Try it for yourself!

Soelect is currently offering sample evaluations using Pen-AI.

If you have high-resolution images of your material or product surface, our team can run an analysis and provide example outputs.

To request an evaluation, please provide:

• High-resolution surface images
• Pixel scale or magnification (if available)
• Brief description of the material