AI defect detection for die‑casting lines

CorteX analyzes production images to detect surface defects early, helping foundries reduce scrap and launch pilots in weeks instead of months

How CorteX works

Our AI integrates seamlessly with your production line to identify defects in real-time, reducing scrap and ensuring 100% quality assurance..

Connect

Send sample images or connect a camera directly from your die-casting process

Detect

CorteX flags potential defects and visually highlights them on each part image

Review

We walk through the results with the quality team to define the defect types that matter most

Deploy

We set up a pilot on your line and measure the real impact on scrap and inspection time

About CorteX

CorteX provides real-time visual inspection designed specifically for high-pressure die-casting lines. By integrating AI directly with your existing camera feeds, CorteX identifies surface cracks, cold shuts, and porosity the moment they occur. This allows your quality team to screen parts before machining, preventing costly tool damage and significantly reducing annual scrap rates

While specialized in die-casting, CorteX is designed to adapt to visual inspection tasks in stamping, injection molding, and forging

End-of-Line Inspection: Automated surface defect detection for 100% quality assurance.

Pre-Machining Screening: Identify defects early to prevent damage to expensive CNC tools.

OEM Integration: Modular AI designed to fit directly into existing casting cells

Data Analysis

Upload 20–50 images for a free AI feasibility check

Accuracy Report

Receive a technical performance report within 48 hours

Edge Setup

On-site deployment of our high-speed camera and Edge box

ROI Trial

A 4-week pilot to measure scrap reduction and actual ROI

Built for Die-Casting. Adaptable to Stamping, Injection Molding, and Forging

Solving Critical Quality Challenges in Die Casting

The Problem being solved

CorteX integrates Vision AI with generative conversation and predictive analytics to create a proactive assistant that:

  • Detects surface or structural defects in real time through camera feeds.
  • Predicts potential equipment faults before stoppages.
  • Provides natural-language insights—operators can ask “What’s causing the issue?” or “Which machine shows early failure signs?”.
  • Learns continuously from previous events to improve accuracy and recommendations.

The Users

  • Maintenance Managers / Reliability Engineers
  • Quality Assurance (QA) / Quality Control Engineers
  • Plant Managers / Operations Directors
  • Process Engineers / Continuous Improvement Specialists
  • Frontline Operators / Technicians

The Problem Statement

Manufacturers lose up to 20% of annual revenue due to quality defects, rework, wastage of scraps and unexpected equipment failures.
Current inspection systems are reactive and slow, while production data remains underutilized. This results in:

  • Delayed detection of visual defects.
  • Lack of actionable root-cause insights.
  • Frequent, costly downtime events.

Start your die-casting pilot

Early detection of visual defects can reduce scrap/rework rates by at least 15–20%.

  • Operators prefer AI-guided insights if the system communicates transparently
  • Predictive models built from existing line data can minimize downtime without new hardware investment.

Meet Our Team

Free AI Feasibility Assessment

Not sure if AI can detect your specific casting defects? Send us 20–50 sample images of your OK and NOK parts. Our team of certified experts will provide a Feasibility Report within 48 hours—showing you exactly what CorteX can detect before you commit to a pilot

Start your die-casting pilot

See CorteX in action on your own production line. We’ll help you identify defects, reduce scrap, and prove the ROI in weeks, not months