Manufacturing AI that actually works on the floor

AIVEX is an industry-specialized AI company that turns complex manufacturing automation challenges into AI systems that actually run in production.

Seamless Industrial AI Vision, Autonomy in Motion.

About Us

AIVEX Mission

Redesigning the success rate of manufacturing AI.

Many manufacturing AI projects fail to deliver real results even after deployment.

AIVEX connects scattered data, reflects judgment criteria, and builds the operating structure where models keep being validated and improved after rollout.

Beyond model performance — data, process, judgment criteria, deployment, and retraining are designed as one connected operating structure, so AI keeps working on the floor.

How AIVEX works

From the floor to operations, we work toward one shared goal

From planning to data, AI research, and robot control — experts in each domain take ownership and move in tight coordination.

AIVEX's integrated execution capabilities

We don't treat inspection, data, robots, and operations as separate technologies

Vision AI, data engineering, robotics, MLOps, and productization capabilities are connected as one flow to build AI systems usable on the floor.

AIVEX history

Toward manufacturing AI that works on the floor — endless growth and innovation

Vision AI, data engineering, robotics, MLOps, and productization capabilities connected as one flow to build AI systems usable on the floor.

Chapter 4.

2026 ~

Realizing industrial Physical AI through an AI robot platform

  • AI vision-based robotics automation platform — developed and deployed in mass production
  • AI Robotics Platform ↔ robot integration — robot setup, operations, and performance management system, deployed in mass production
  • AI Robotics Platform ↔ industrial AI vision MLOps integration — intelligent robot development and mass-production deployment
  • Robot control and automation technology for handling High Variance work
  • Perception-driven robot automation beyond teaching- and rule-based automation
  • Completing an Industrial Physical AI structure that connects inspection, judgment, and motion
Chapter 3.

2025

Data flow and operational automation for industrial AI vision

  • Maximizing Industrial AI operational efficiency through MLOps + Data Management Platform integration and mass-production deployment
  • End-to-end integration from data acquisition to AI model training, validation, and deployment on manufacturing and logistics floors
  • Operating a Data Closed-Loop System that connects inspection results, operating logs, and retraining data
  • Establishing a continuous performance-improvement structure based on on-floor data
  • Validated dramatic improvements in model performance and reduced maintenance costs across many projects
Chapter 2.

2023 - 2024

Expansion into an industrial AI vision operations platform

  • Web-based Industrial AI vision MLOps platform — developed and deployed in mass production
  • Multi-user Collaborative Labeling System — built and deployed in mass production
  • Inspection data & model management platform that integrates inspection images, metadata, and model version history — developed and deployed in mass production
  • Structurally solving the defect-data scarcity problem with GenAI-based defect-image generation
  • Establishing an MLOps structure premised on mass-production operation, not PoC
Chapter 1.

2020 - 2022

Laying the foundation for AI visual inspection

  • In-house development and mass-production deployment of an Original Neural Network for AI-based inspection
  • World-first AI-based inspection mass-production projects in the automotive industry — multiple successes
  • Development and mass-production success of robot-integrated AI-based inspection systems
  • 3D Metrology solution meeting CMM-level accuracy — developed and achieving mass-production Tact Time
  • Validated AI inspection reliability and reproducibility across diverse industrial fields

How could AIVEX's AI system solve your floor's problems?

AIVEX designs your manufacturing data, inspection, and automation challenges into AI structures that actually run in production.