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
Naseha Nawaz
Founder/ CEO/CMO
Defines and drives AgilXAI’s vision, strategy, and product direction to achieve measurable growth.
Naseha Nawaz
Founder/ CEO/CMO
- Email:naseha@agilxai.io
Muhammed Fazil
Co-founder/CTO
- Email:fazil@agilxai.io
Sunkra Tushar Rao
AI Data Engineer
Builds efficient data pipelines and training datasets to optimize AI model performance.
Sunkra Tushar Rao
AI Data Engineer
- Email:tushar@agilxai.io
Zakaria Al-Shami
Technical Sales & Demo Engineer
Pairing deep technical know‑how with customer‑first mindset
Zakaria Al-Shami
Technical Sales & Demo Engineer
- Phone:49 17676289289
- Email:zakaria@agilxai.io
Priyadarshini Jha
Marketing & Growth Assistant
Driving global growth and connecting foundries with AI-powered quality solutions
Priyadarshini Jha
Marketing & Growth Assistant
- Phone:49 17676289289
- Email:zakaria@agilxai.io
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
