AI & Platforms
From test data to AI-based assessment
Materials test data acquisition, analysis and reporting are integrated with AI-based life assessment from microstructure images in a single stack.
The AI and platforms portfolio consists of an integrated platform that automates the entire materials testing process and an AI system that assesses the life of equipment materials from metallographic microstructure images. Together, they turn accumulated test data into standardized assessments and lasting organizational assets.
PIMP (PILETA Intelligence Materials database Program)
Integrated materials test data platform
End-to-end automation from test data acquisition to reporting
An integrated platform covering the entire materials testing process, automatically acquiring, analyzing and reporting raw data from test equipment.
Multiple test types, one platform
Manages key mechanical tests, including tensile, creep, low-cycle fatigue, fracture toughness and fatigue crack growth, on a single platform.
Automated acquisition, analysis and reporting
Acquires raw data from test equipment in real time, then runs standardized analysis through to automatic report generation.
Distributed architecture
Three interconnected modules (equipment client, central server and analysis client) manage multiple machines and analysis tasks simultaneously.
Tube Life Assessment (AI)
AI life assessment system for austenitic stainless steel tubes
Automatic life grade assessment from material microstructure images
An AI system that automatically determines the life grade, confidence level and supporting evidence for equipment materials from metallographic microstructure images.
Image input, automatic grading
Given a microscope image, the system returns a life grade, a confidence score and an evidence heatmap within 2 seconds.
Consistent assessments and knowledge retention
Standardizes manual assessments that once depended on individual experience. The same image always yields the same result, and experts' decision criteria are preserved as organizational assets.
Proven AI technologies combined
Combines automatic microstructure segmentation (MatSAM), visual feature extraction (Vision Transformer, ViT) and classification models (RF, XGBoost and SVM) to deliver robust performance even with limited data.
Ready When Reliability Matters
When integrity needs proof, PILETA delivers
The PILETA Test & Evaluation Center is accredited by the Korea Laboratory Accreditation Scheme (KOLAS) as a testing laboratory (Accreditation No. KT921). From testing and failure analysis to digital solution consultations, our engineers respond to you directly.
T. +82-42-368-0180 · pileta@pileta.co.kr