AX Transformation Consulting
AX (AI Transformation) focuses on
AI-driven innovation, enabling customers
to achieve their desired vision.
As an AI-specialized company,
Hypernology supports customers
in realizing innovation through AX.
AX Transformation Consulting
AX (AI Transformation) focuses on
AI-driven innovation, enabling customers
to achieve their desired vision.
As an AI-specialized company,
Hypernology supports customers
in realizing innovation through AX.
Consulting
The era of Digital Transformation (DX), simply collecting data, is over. We are now in the era of AX (AI Transformation), where AI understands data and autonomously suggests optimal solutions.
Endless dashboards and alarms only increase field fatigue. AI must go beyond human analysis to find causes and take action automatically.
By predicting equipment failures (Predictive Maintenance) and autonomously optimizing processes, you can drastically reduce defect rates and energy waste.
Transferring the know-how of retiring veterans to AI and Digital Twins ensures flawless quality control despite the shortage of skilled workers.
Discover how building simple infrastructure (DX) differs from AI-driven intelligence (AX).
Focuses on 'Collection' and 'Storage'
Focuses on 'Understanding' and 'Solutions'
| Category | DX (Past~Present) | AX (Future) |
|---|---|---|
| Core Goal | Connection & Visualization (Dashboard) | Prediction & Autonomous Optimization |
| Data Format | Raw Tag (Simple Sensor Value) | Semantic Data (Meaningful Data) |
| Deliverables | Assisting Human Decision-Making | Digital Twin-based AI Solutions |
"Garbage In, Garbage Out". No matter how much data you have, AI cannot learn from meaningless 'Raw Tags'. Successful AX requires converting this into AI-understandable Semantic Data.
Enter unknown machine signals (Raw Tags) used in the field. The AI will attempt to analyze them into a meaningful structure (Submodel).
See how simple sensor signals connect to the AI's brain. This is Hypernology's essential pipeline for successful AX.
Raw numerical data coming from factory sensors. This is the foundational (DX) stage of loading data into the TSDB.
Gathering scattered data and grouping it by function (Submodel), like 'Motor Drive Unit', and assigning global standards.
Instead of heavy 3D, it synchronizes actual equipment status into a virtual space in real-time using Submodel data.
AI learns real-time data on top of Light DT, predicts anomalies, and autonomously instructs the site with optimal recipes.
Check which of the three types your factory falls into and see the next steps.
💡 Hypernology Suggests: Rather than rushing into AI, we coach you on sensor installation and basic data collection (Light DX).
💡 Hypernology Suggests: We clean neglected data into Semantic data based on AAS Submodels, creating an environment AI can learn from.
💡 Hypernology Suggests: We implement a true 'autonomous factory' by layering advanced AI algorithms on top of the Light DT environment, maximizing ROI.
Successful AX is a company-wide initiative. Check the core needs and preparations by role.
See the massive difference in AI performance stability between unrefined Raw data (Gray) and AAS-refined Semantic data (Red).
From foundational data work (AAS-based Submodels) to Light Digital Twins and customized AI model adoption. It's okay if you don't know what to prepare. Hypernology suggests the most solid AX strategy.
Contact Us