CorteX analyzes production images to detect surface defects early, helping foundries reduce scrap and launch pilots in weeks instead of months
Traditional sampling leaves 90% of your production unchecked. A defect found at the casting stage costs €2, but finding that same defect after machining costs €200. CorteX closes this 'Scrap Gap' with 100% visual coverage
Send sample images or connect a camera directly from your die-casting process
CorteX flags potential defects and visually highlights them on each part image
We walk through the results with the quality team to define the defect types that matter most
We set up a pilot on your line and measure the real impact on scrap and inspection time
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
Real-Time Defect Flagging: CorteX flags likely surface defects—such as cracks or porosity—and highlights them directly on the part image for immediate visibility.
Actionable QA Insights: Quality teams use this view to quickly decide what to scrap, rework, or pass before machining
High-Speed Analysis: Delivering results in <0.12 seconds, ensuring continuous inline visual inspection across all parts without slowing down your production cycle
Decision Support: Combine defect trends with process data to support data‑driven improvement and maintenance planning
We place a camera near the die-casting machine or inspection station to capture images of each part
CorteX runs on an on-site edge PC/box and processes images in near real-time, ensuring data security and speed
The system produces OK/NOK decisions, defect overlays, and simple dashboard reports
✅ AI Defect Detection: Images-based analysis for die-casting.
✅ Real-Time Highlighting: Visual markers for Short shots, Sink marks, Cold shuts, Cracks, Misruns, and Porosity.
✅ Pilot Ready: Feasibility check and 4-week on-site setup.
⏳ Root-Cause Analysis: Linking process data to visual defects.
⏳ Predictive Quality: Trend analysis for scrap prevention.
⏳ Conversational AI: AI assistant for operators and engineers
Upload 20–50 images for a free AI feasibility check
Receive a technical performance report within 48 hours
On-site deployment of our high-speed camera and Edge box
A 4-week pilot to measure scrap reduction and actual ROI
Built for Die-Casting. Adaptable to Stamping, Injection Molding, and Forging
Beyond today’s AI defect detection, we are building CorteX to eventually:
CorteX integrates Vision AI with generative conversation and predictive analytics to create a proactive assistant that:
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:
Early detection of visual defects can reduce scrap/rework rates by at least 15–20%.
Founder/ CEO/CMO
Defines and drives AgilXAI’s vision, strategy, and product direction to achieve measurable growth.
AI Data Engineer
Builds efficient data pipelines and training datasets to optimize AI model performance.
Marketing & Growth Assistant
Driving global growth and connecting foundries with AI-powered quality solutions
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
To empower manufacturing teams with real-time visual inspection, root cause analysis and predictive insights.
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