Vision Intelligence Platform for Non-Destructive Testing Vision Intelligence Platform for Non-Destructive Testing

Vision Intelligence Platform for Non-Destructive Testing

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Overview

Reimagining Industrial Inspection with AI-Led Visual Intelligence

HCLTech Vision Intelligence Platform for Non-Destructive Testing (NDT) is a no-code, AI-powered visual inspection solution designed to help enterprises enhance quality control, improve operational efficiency and reduce manual inspection of NDT data across manufacturing and industrial environments.

By combining computer vision, advanced analytics, intelligent automation and synthetic data generation, the platform enables faster model training, improved defect detection and more reliable anomaly identification, even in scenarios where real-world defect samples are limited.

Our solution supports real-time inspection, process monitoring and scalable deployment across production lines, helping organizations accelerate inspection cycles, minimize errors, reduce rework and improve product quality. With configurable workflows and data-driven insights, it empowers businesses to make faster decisions, optimize operations and drive continuous improvement across the value chain.

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Features

One Platform. Multiple Modalities. Faster Inspection Intelligence

Works with CT, X‑ray, ultrasonic and visual data

Upload datasets, get AI‑assisted labelling, then train/iterate with one click from 90+ AI models

Supports segmentation, classification, anomaly detection—choose what fits your data

Create artificial defects to overcome data scarcity and improve robustness

On-prem, cloud (SaaS/PaaS) for secure and scalable rollout

Compare models, track KPIs and generate audit‑ready inspection reports

Key Benefits

Accelerate Quality Outcomes with Intelligent Defect Detection at Scale

Leverage AI-powered visual intelligence for faster defect detection, improved inspection accuracy and consistent quality outcomes across industrial environments.

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50%+ reduction in manual inspection time

Improved accuracy for quality and compliance

Faster AI model training with synthetic data

Generates artificial defect samples enabling quicker model development and improved detection performance

Improved defect detection accuracy

Computer vision-driven image analysis to identify defects, anomalies and quality deviations

Reduced rework and scrap

Enables early detection of defects, reducing downtime and manual effort

Scalable quality monitoring

Supports deployment across multiple inspection points, product variants and manufacturing environments with flexible cloud or on-prem options

Audit-ready reporting and traceability

Provides inspection insights, model performance metrics and quality reports supporting compliance, benchmarking and continuous improvement

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AI AI-Technik Lösung Vision Intelligence Platform for Non-Destructive Testing