AgilXAI: Vision-First AI for Smarter Manufacturing
Empower industrial teams with real-time visual inspection, predictive insights, and conversational AI that drives efficiency, reduces waste, and minimizes downtime.
About CorteX
CorteX aims to empower manufacturing teams with real-time visual inspection, root cause analysis and predictive insights.
By uniting computer vision, properitery AI model, and human-like conversational interfaces, helps detect quality issues early, predict machine failures, and reduce unplanned downtime — leading to higher production yield and lower waste.
Speak with our specialists on how CorteX can deliver real results—zero cost, no obligation.
Free Consultation.
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.
Founding Hypotheses
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.
Vansh
Full-Stack Vision-AI Engineer
Transforms vision-AI models into scalable, production-ready web applications.
Sunkra Tushar Rao
AI Data Engineer
Builds efficient data pipelines and training datasets to optimize AI model performance.
