Roger Herger
CEO & Founder
maXerial
maXerial offers AI-powered modeling and simulation software for materials science. Their platform enables researchers and engineers to predict material properties and performance, accelerating the design and discovery of new materials.
- Artificial Intelligence
- Data & Analytics
- Industrial Automation
- New Materials
- Software Only
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Traditional materials science relies on physical testing and experimentation to determine material properties and performance, which can be time-consuming, expensive, and limited in scope. Analyzing large 3D datasets from industrial computed tomography (CT) scans is complex, requiring specialized software and expertise. Manual image data analysis is often time-consuming and requires in-depth materials knowledge.
Solution
maXerial offers AI-powered modeling and simulation software that leverages industrial computed tomography (CT) data to predict material properties and performance, accelerating the design and discovery of new materials. The platform utilizes machine learning algorithms to automate the analysis of CT scan data, enabling users to identify defects, quantify material properties, and optimize processes. maXerial's solutions provide quantifiable results and solutions to practical problems, offering a non-destructive view into components and materials. The software includes a 1-Click AI Trainer that simplifies the process of building and training AI models, even for non-experts.
Target Audience
The primary target audience includes researchers, engineers, and manufacturers in materials science, industrial computed tomography, and related fields who seek to accelerate material design, optimize processes, and improve quality control.
Features
- AI-powered modeling and simulation for predicting material properties and performance
- Automated analysis of industrial CT scan data for defect detection and material characterization
- 1-Click AI Trainer for simplified AI model building and training
- Falknis X-ray Inspect software for easy machine vision of X-ray 2D data, decoupled from the X-ray system
- Rule-based and AI-based methods for solder joint defect and void identification
- Image enhancement techniques for improved visualization of details in X-ray images
- 3D data visualization tools for analyzing large datasets
- Interactive diagrams for exploring data and identifying patterns
- Cloud infrastructure for high-performance computing and scalable GPU training environments