SOLUTION 02 · INDUSTRIAL ON-DEVICE AI
Signature Product · AI Ready Box
A hardware-integrated On-Device AI system that automatically collects, cleans, trains on and controls heterogeneous industrial-site data
INCLUDES
Solution Overview
The AI Ready Box integrates software and platform layers — including the LLM CodeGen, Auto Regression and MLOps cycle — into TBEdge, our self-designed industrial Edge device. Industrial sites already have countless devices and sensors generating data. Yet heterogeneous protocols, unstructured data and a shortage of operating staff often cut off the path to actually using AI. This is an industrial On-Device AI system designed to handle everything from data collection through training, inference and control within a single box.
3-LAYER ARCHITECTURE
LAYER 3
Closed MLOps & autonomous control
MLOps virtuous cycle · BI dashboard · control interface · continuous model updates · auto-recovery
LAYER 2 (CORE)
AI Ready Box system
Real-time data preprocessing · classification · standalone On-Device AI core · Jetson Orin NX-based inference · offline analysis capable
LAYER 1
Industrial-site equipment & heterogeneous networks
PLC · sensors · robots — automatic collection with no separate program
CORE FEATURES
REFERENCES
REFERENCE 01
Startup Leap Package (General), Ministry of SMEs and Startups — in progress
MEANING
A government validation track that elevates the R&D-stage AI Ready Box to the market-entry stage.
REFERENCE 02
Selected in the AX-LLM track of the Disruptive Startup · Challenge for All program
MEANING
A project that links LG AI Research's EXAONE 1.2B sLLM model to the AI Ready Box's computing environment to build an AI virtual engineer that uses real-time data on-device. Following selection, the PoC execution phase is now in full swing.
OTHER SOLUTIONS
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