AutoLabs
AUTOLABS INTELLIGENCE

BEYOND
THE EDGE.

AI understands the complexity of the production field.
Transforms industrial data into actionable intelligence.

How It Works

The AutoBrics Platform Ecosystem

Connecting the factory floor, your data, and institutional knowledge into one intelligent flow - from the camera on the line to the decision on your desk.

01

INPUT

AutoVision H/W

Modular edge-AI hardware that adapts to your floor conditions and runs high-speed vision inspection at line speed.

02

INFERENCE

Inspection Workspace

Zero-shot domain models deliver high-precision defect detection and real-time visualization - no additional training required.

03

PIPELINE

Data Refinery

A GCD-based pipeline automatically sorts and cleans images and metadata into a production-ready dataset.

04

LEARNING

Knowledge Base

Process history and inspection decisions are consolidated, so performance improves with every run.

A closed loop: the Knowledge Base feeds back to push inspection accuracy higher with every roll.

Live Inspection

See every defect the moment it appears.

Zero-shot domain models catch knitting, weaving, and dyeing defects at line speed - needle lines, stains, and holes are mapped onto a live web view with confidence scores.

  • No per-line training - a new fabric is running within minutes.
  • Human-in-the-loop review is built into the flow, not bolted on.
Fabric roll detail report screen

Smart Data Engine

Every image labeled. Every image an asset.

The GCD refinery pipeline sorts and cleans images and metadata automatically - and surfaces defect types nobody has seen before, so the dataset grows on its own.

GCD classification accuracy
0%
Quality history per roll
QR
Defect type classification screen

Trusted Quality

Objective quality, on standards buyers already trust.

Grading follows the 4-Point System and ASTM D5430 - the number on the certificate means the same thing on your floor and to a buyer on the other side of the world.

  • Automatic scoring - no manual re-inspection.
  • Certificates you can share and trace, roll by roll.
Live AI fabric inspection screen

The Hardware

AutoVision R2R System

A high-performance line-scan vision system built for roll-to-roll web inspection. Light-blocking enclosure, motorized camera bar, and precision lighting in a single industrial unit.

3× line-scan cameras

Fixed at 523 mm working distance to cover the full fabric width in one pass.

Precision LED lighting

The enclosure blocks ambient light, holding image quality steady on the floor.

AutoVision R2R System
Status indicator LEDs

PWR · RUN · ALM states are readable at a glance from the line.

R2R web transport

Precision inspection sustained at 50 m/min line speed.

OPTICS

4×

Line-scan cameras · 523 mm WD

THROUGHPUT

0 m/min

Inspection at line speed

FOOTPRINT

0mm

Installed width (incl. base)

DEPLOYMENT

Retrofit

Mounts onto existing lines

Our Roadmap

From technology to proven value.

From AI inspection automation to data as an asset, and on to global commercialization - one stage at a time.

2025

Foundation & AI inspection automation

AutoVision hardware, zero-shot anomaly detection, and a real-time inspection UI with human-in-the-loop review.

KPI · AUROC 96% / 50 m/min

NOW

2026

Deeper intelligence & data as an asset

GCD-driven discovery of new defect types, a QR-based quality history database, and an SOP-grounded knowledge agent.

KPI · GCD accuracy 90%+

2027

Commercial scale & global reach

Fabric optimization agents, a Southeast Asia base in Vietnam, and a 10% cut in fabric waste through process optimization.

KPI · KRW 550M cumulative revenue

Our Journey

How far we have come.

One year since founding - a record of AutoLabs' growth through technology, partners, and investment.

2025

Foundation & technical validation

  1. MAY

    AutoLabs Inc. founded

    The official start of our industrial vision AI business.

  2. JUN

    Patent filed for AI-based automatic fabric defect inspection

    Securing intellectual property on our core inspection algorithms.

  3. NOV

    MOU with Inha University SW-Centered University Program

    Laying the groundwork for research and talent partnerships.

  4. NOV

    In-house foundation model published at BMVC 2025

    Our vision foundation model research accepted at the international BMVC 2025 conference.

2026

Data as an asset & global expansion

  1. JAN

    MOU with Daesung TS, Ho Chi Minh City, Vietnam

    A partnership secured for on-site validation in Vietnam.

  2. MAR

    Named top company in the Pre-Startup Package

    Recognized as the highest-performing company in the program.

  3. MAR

    Joined the Antler Korea program

    Selected for the accelerator cohort of global early-stage investor Antler.

  4. APR

    Patent filed for automatic defect clustering and classification

    Securing IP on the core technology that clusters and classifies defect types automatically.

  5. APR

    Selected for Google for Startups

    Joining Google's startup support program.

  6. JUN

    Pre-seed investment from Antler Korea

    Raised pre-seed funding from global early-stage investor Antler Korea.

  7. JUN

    Selected as an NVIDIA Inception Partner

    Recognized as an NVIDIA Inception partner for edge AI development.

  8. JUN

    Selected for the Majung Program (Microsoft)

    Establishing a foundation for collaboration with Microsoft for Startups and other global partners.

Meet the Team

Making industrial AI real.

AutoLabs starts from real industrial problems and builds AI that is proven where it matters - on the floor.

Junha Yoo

Junha Yoo

Chief Executive Officer

David Kim

David Kim

Chief Operating Officer

Yunseok Oh

Yunseok Oh

Chief AI Officer

Hwichul Shin

Hwichul Shin

Chief Product Officer

Backed by

The partners beside us.

Global investors and technology partners are with AutoLabs on this journey.

AntlerNVIDIA Inception ProgramMicrosoft 마중 프로그램Google for Startups

Request a PoC

See AutoBrics running on your own line.

Request a PoC and watch real-time defect detection and objective grading work on your own fabric.