News
AREaiONX Strengthens Pre-Heat-Treatment Quality Control at Norm Cıvata with Artificial Intelligence
AREaiONX has deployed an AI-powered computer vision solution at Norm Cıvata’s production facilities to support the real-time detection of foreign materials that may create quality risks at a critical control point before heat treatment.
Industrial AI & Computer Vision Platform
Transform Your Existing Camera Infrastructure Into an AI-Powered Analysis System
AREaiONX uses existing camera infrastructure to enable real-time analysis of operational processes and field risks.
REFERENCES
- Real-Time Monitoring
- Process & Efficiency Tracking
- Intelligent Safety Analysis
- Enterprise System Integration
ABOUT US
Combining Field Engineering Experience With Artificial Intelligence
AREaiONX is an industrial artificial intelligence platform developed with SophTRun engineering and BMG Group field experience.
By developing solutions for the real needs encountered in production facilities and operational fields, it provides AI-powered analysis in occupational safety, process management and operational efficiency.
About UsOUR SOLUTIONS
Intelligent AI Technologies for Safety and Operational Processes
FIELD EXPERIENCE
Projects Built Around Real Operational Needs
A selection of AREaiONX applications developed across different industries and field environments.
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NORM Fasteners
Computer-vision applications supporting occupational safety, quality and operational processes in manufacturing environments.
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Akdeniz Chemson
AI-powered analytics solutions were developed to support digital monitoring of production processes and improvements in operational efficiency.
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Ela Excellence Resort
AI-powered analytics systems were developed to support the digital monitoring of hotel operations, with a focus on reservation and restaurant processes.
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Tetra Pak
A computer vision-based quality analysis system was developed to support the verification of products against quality standards on the production line.
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GAMAK
Computer vision-based analysis studies were carried out to monitor production operations and support process efficiency improvements.
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Marmara Üniversitesi
AI and computer vision-focused project studies were carried out to support academic research and technology development processes.
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İDATRİM
AI-powered computer vision solutions were developed to digitally monitor product tracking and production processes at İDATRİM's manufacturing facilities.
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Işık Yumurta
An AI-powered automatic egg counting system was developed to improve counting accuracy across production and packaging processes.
Frequently Asked Questions
Does it work with our existing camera infrastructure?
AREaiONX is designed to work with existing camera infrastructures. Camera compatibility may vary depending on the model, stream protocol and image quality. Compatibility is reviewed during the project assessment before deployment.
Is data stored in the cloud?
Storage and deployment architecture are determined according to the project requirements and the customer’s IT infrastructure. The appropriate architecture is defined during the technical assessment phase.
Can the system perform real-time analysis?
Yes. AREaiONX can analyze live camera streams and detect defined events and risks in real time, depending on the selected analysis and system configuration.
Can it integrate with ERP and other systems?
Yes. AREaiONX can integrate with enterprise systems such as ERP, SAP, SCADA and other software platforms through project-specific integrations and APIs.
Can it work without an internet connection?
Yes. Thanks to its on-premise architecture, the system can operate independently on the local network.
What is AREaiONX?
AREaiONX is a computer-vision analytics platform that uses existing camera infrastructure to support AI-assisted monitoring and analysis across occupational safety, production, quality, logistics and field operations.
Can sector- or company-specific solutions be developed?
Yes. Alongside standard analytics, the platform focuses on supporting site- and process-specific computer-vision scenarios. Requirements are defined during the project assessment.
How does the deployment process work?
The process begins with an assessment of the existing camera infrastructure and operational needs; the relevant computer-vision scenarios are then configured, along with the appropriate notification and reporting channels.
How are notifications handled?
Where supported by the selected scenario, detected events can be followed through the portal, email or relevant notification channels.
How can I request a demo?
You can request a demo through the "Request Demo" form on this site or by using the contact details on the Contact page.
LATEST
Latest from AREaiONX
Explore the latest updates about our projects, technologies and real-world applications.
News
AREaiONX Strengthens Pre-Heat-Treatment Quality Control at Norm Cıvata with Artificial Intelligence
AREaiONX has deployed an AI-powered computer vision solution at Norm Cıvata’s production facilities to support the real-time detection of foreign materials that may create quality risks at a critical control point before heat treatment.
Blog
AREaiONX Earns the Teknogirişim Badge
AREaiONX has been awarded the Teknogirişim Badge as part of its technology and R&D-focused efforts, further strengthening its identity as an innovative technology venture.
Blog
AREaiONX Takes Part in TÜSİAD SD2 STEP 2026
AREaiONX participated in TÜSİAD SD2 STEP 2026, presenting its AI-powered image processing capabilities and industrial use cases to sector representatives.
REQUEST A DEMO
Explore AREaiONX in Your Own Operation
Let's review your existing camera infrastructure, operational needs and target analytics to determine the most suitable AREaiONX approach.