AX Platform
Solution
About Us
AX Platform
Beyond data toward intelligent connection, the core engine of NFLUX
Beyond data toward intelligent connection, the core engine of NFLUX
Beyond simple Digital Transformation (DX), we lead the "AX (AI Transformation)" era where AI itself understands the environment and makes optimal decisions. Meet NFLUX's innovative platform-based technologies.
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Data Assetization Layer
Secure Storage and Hybrid Management of Structured/Unstructured Data
Foundational layer for physically/logically storing collected raw data and processed data.
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Hybrid Storage Architecture
Supports both Cloud and On-premise environments, building storage that guarantees security for sensitive data.
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Distributed File System
Applies a distributed storage file system for high-speed processing of large-scale video data (CCTV) and time-series sensor data.
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Data Lake & Warehouse
Supports historical data retrieval and lineage management by loading unstructured (Data Lake) and structured (Warehouse) data for specific purposes.
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High-Speed Processing & Virtualization Layer
Standardization, Virtualization, and Real-time Flow Control
Core hub engine that processes stored data according to business logic and integrates it logically without physical movement.
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DVaaS (Data Virtualization)
Applies virtualization technology allowing real-time queries without silos by integrating data logically without physical replication.
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High-Performance Message Broker
Guarantees bottleneck-free processing of large-scale traffic through distributed message queue processing using Kafka, RabbitMQ, etc.
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Standardization (ETL)
Automatically transforms and refines various data formats from heterogeneous systems into platform standard specifications.
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Intelligent Analysis Layer
Adding AI to Data to Derive Predictions and Insights
Acts as the brain, discovering patterns in processed data to predict future situations or detect anomalies.
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FluxVision AI
Vision AI engine performing object recognition, intrusion detection, and crowd density analysis by analyzing CCTV video data.
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Prediction Engine
Drives models for predicting equipment failure (predictive maintenance), power grid status, and disaster risks by analyzing time-series data.
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MLOps Automation
Secures AI reliability (based on TTA certification) by automating continuous learning, deployment, and performance monitoring of AI models.
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Utilization/Deployment Layer
Providing Optimal Monitoring Environment Reflecting User Experience
The stage of providing analyzed data for intuitive user verification or utilization by other systems.
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E-Map Based Information Display
Lays the foundation for easy linkage between MAP and content layers when creating content by applying an open-source Base MAP.
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Various Chart-Based Visualization
Provides functionality to visualize user-configured data on the dashboard layer and intuitive device control.
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Data Monitoring for CCTV, Sensors, Facilities, etc.
Provides an accurate and intuitive monitoring environment by displaying real-time video and data reflecting locations of CCTV, sensors, etc., in actual map space.
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Integrated Interface Layer
Universal Interface (The Wrapper) acting as both 'Input' and 'Output' for all data
The point of contact where all external things (IoT), systems (Legacy), and users (User) communicate with the platform. Ensures interoperability by integrating Protocol (Input) and Routing (Output) functions into one.
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Input Interface (Protocol Adapter)
▪ Multi-Protocol Support: Connects instantly with heterogeneous sensors by accommodating various industrial standard protocols such as MQTT, HTTP, RTSP, Modbus, OneM2M, etc.
▪ Protocol Designer: Provides a tool to define and link new equipment protocols on the UI without coding.
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Output Interface (Service Routing)
▪ Open API Gateway: Provides standard APIs to export analyzed data to other institutions, third-party apps, and BI tools (Sight Booster).
▪ Smart Routing: An intelligent data routing that sends notifications to the control center (Dashboard) or field manager (Mobile) when specific events occur.
Data Flow Diagram
Technical Journey of Transforming Data into Value
01
Source Storage
Data Lake
Object Storage System
Unified storage for structured/unstructured data. Scalable distributed file system for efficient storage of large-scale source data.
Source Data Collection
Batch/real-time data collection from various sources. Integrates collection of logs, transactions, sensor data, etc.
Data Catalog
Metadata management and data governance. Centrally manages data locations, schemas, and quality information.
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Preprocessing/Processing
ETL Processing
Apache NiFi / Airflow
Data pipeline orchestration. Ensures stable data flow through workflow scheduling and monitoring.
Apache Spark
Large-scale data transformation and processing. High-speed complex data processing through distributed computing.
Data Quality Management
Data validation, cleansing, and standardization. Automates data quality rule application and anomaly detection.
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Integrated Analysis
Data Warehouse
PostgreSQL / MySQL Cluster
Enterprise-grade RDBMS. Stores structured analytical data in star or snowflake schemas.
Dimension Tables
Dimension tables (Customer, Product, Time, etc.). Manages master data acting as analysis axes.
Fact Tables
Fact tables (Sales, Inventory, Events, etc.). Stores business transactions and measurement metrics.
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Purpose-Specific Storage
Data Mart
Sales Data Mart
In-depth analysis of sales performance, customer segments, and trends.
Finance Data Mart
Real-time monitoring of profit/loss, cash flow, and budget vs. performance.
Operations Data Mart
Tracks operational efficiency, inventory turnover, and quality metrics.
Marketing Data Mart
Measures marketing ROI, customer journey, and channel effectiveness.
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Exploration/Visualization
Business Intelligence (BI)
Apache Superset
Open-source BI platform. Create dashboards via drag-and-drop and visualize data with various charts.
Metabase
User-friendly BI tool. Explore data based on questions without SQL and generate reports.
Dashboards & Reports
Executive dashboards and KPI monitoring for real-time business metrics at a glance.
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Intelligent Prediction
AI Intelligence
MLflow
ML model lifecycle management. Integrates management of experiment tracking, model registry, and deployment pipelines.
TensorFlow / PyTorch
Deep learning frameworks for developing advanced AI features such as prediction, classification, and recommendations.
Predictive Analysis
Demand forecasting, anomaly detection, customer churn prediction based on machine learning.
Natural Language Processing (NLP)
Text analysis, sentiment analysis, and chatbots to extract insights from unstructured text data.
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Network Infrastructure & Security
Network Infrastructure & Security
Core Switch
10G/40G Ethernet backbone. High-speed data transmission central switching infrastructure.
Storage Network
NFS/iSCSI protocols. Optimizes I/O performance via dedicated network between servers and storage.
Security Firewall
Access control and data protection. Controls traffic between network segments and blocks external threats.
6 Core Strengths
Creating meaningful value by supporting various data analyses.
Implementation is possible in any business area where data exists.
Interoperability
Accommodates various protocols, provides collection and control
End-to-End Compatibility & Seamless Integration of Heterogeneous Data
Supports various communication protocols (MQTT, RTSP, etc.) to seamlessly connect complex on-site sensors and legacy systems into a single platform.
Scalability
Platform linkage, AI platform utilization
Rapid and Limitless Infrastructure Expansion in Response to Business Changes
Utilizes distributed message queues and standard message hubs to rapidly expand infrastructure without bottlenecks when linking new equipment or systems.
Openness
Provides data openness functionality
Free Data Linkage with External Ecosystems through Open APIs
Freely share and communicate collected/analyzed data with other institutions, third-party apps, and BI tools through the Open API gateway.
Automation
Automated response through flexible Standard Operating Procedure (SOP) writing
SOP-based Intelligent Operation & AI Training Pipeline Automation
Based on Standard Operating Procedures (SOP), the system automatically executes situation dissemination and response procedures for specific events, reducing human error.
Flexibility
Flexible monitoring screen configuration
Flexibility in Screen Configuration & Optimized Visualization Environment
Supports responsive UI and free widget placement, allowing users to easily configure optimal monitoring screens without additional development.
Customizability
E-map based customized UI/UX production
GIS-based Spatial Information Fusion & User-centric Intuitive Visualization
Fuses with Electronic Map (GIS) content layers to provide real-time status of CCTV, sensors, and facilities in intuitive screens tailored to user purposes.
Platform Details
Core Technologies Implementing the AX Platform
Dataflux
Optimal Platform for DataOps
End-to-end data management solution from collection, storage, and processing to utilization.
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MLflux
Reliable All-in-One AI Platform
AI model training/operation automation and Agentic AI roadmap.
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Core Technology
NFLUX's Unique Original Technology
Data Virtualization (DVaaS.io), Vision AI (FluxVision)
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