AutoLabs
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About

We connect vision AI, modular hardware and inspection workflows, starting in textiles and expanding toward data-based automation across production sites.

Who We Are

Connect production inspection through data.

AutoLabs connects vision AI, modular hardware and inspection workflows. AutoVision hardware and AutoBrics software form inspection tools spanning detection, operator review and per-roll reporting.

The working prototype currently demonstrates detection, operator review and per-roll reports on plain, single-color nonwovens. We validate scope for each material and site condition.

Our current focus is Korea, Vietnam and Indonesia. Material validation and on-site experience guide reuse of inspection settings and software and connections between records and follow-up work.

Founded
May 2025
Offices
HQ Daegu · Seoul branch
Team
3 co-founders
Status
Working prototype for plain, single-color nonwovens

Meet the Team

The people behind AutoLabs.

Hardware design, AI development, product refinement and work on the factory floor share one goal: solving inspection problems. AI researchers and engineers, platform full-stack and backend developers also contribute to the product.

  • Junha Yoo

    Junha Yoo

    Chief Executive Officer

  • David Kim

    David Kim

    Chief Operating Officer

  • Hwichul Shin

    Hwichul Shin

    Chief Technology Officer

Our Journey

How far we have come.

AutoLabs' journey from founding to research, collaboration and investment.

2025

Foundation & technical validation

  1. MAR

    Selected for the Pre-Startup Package

    Selected for the pre-startup commercialization support program of the Ministry of SMEs and Startups and KISED.

  2. MAY

    AutoLabs Inc. founded

    The official start of our industrial vision AI business.

  3. JUN

    Patent filed for AI-based automatic fabric defect inspection

    Securing intellectual property on our core inspection algorithms.

  4. NOV

    MOU with Inha University SW-Centered University Program

    Laying the groundwork for research and talent partnerships.

2026

Expanding research and partnerships

  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. APR

    Patent filed for automatic defect clustering and classification

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

  4. MAY

    Corporate R&D institute established

    Established an R&D base for vision AI and automated inspection technologies.

  5. JUN

    Selected for Google for Startups

    Joining Google's startup support program.

  6. JUL

    Pre-seed investment from Antler Korea

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

  7. JUL

    Selected as an NVIDIA Inception Partner

    Recognized as an NVIDIA Inception partner for edge AI development.

  8. JUL

    Selected for the Majung Program (Microsoft)

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

  9. AUG

    Venture enterprise certification obtained

    Obtained venture enterprise certification following the establishment of a corporate R&D institute.

  10. SEP

    Selected for TIPS (Ministry of SMEs and Startups)

    Selected for the Tech Incubator Program for Startup (TIPS) of Korea’s Ministry of SMEs and Startups (MSS), a private investment-led technology startup support program.

Our Roadmap

From repeatable inspection to connected production.

Our development direction starts with the scope demonstrated today, followed by plans for material-specific validation and repeatable implementation on site.

NOW

01

Working prototype today

The working prototype has demonstrated defect detection, operator review and per-roll reports on plain, single-color nonwovens.

Focus · Inspection workflow for plain nonwoven material

02

Material-specific validation

We plan to define validation steps for different materials and line conditions, then establish the inspection scope that each can support.

Focus · Validation by material and line conditions

03

Repeatable implementation on site

Building on validation results and on-site experience, we plan to reuse configurations and software and connect inspection records with follow-up work.

Focus · Reusable configurations and software

Backed by

Supported by investment and startup programs.

We develop products and technology with Antler investment and global startup program support.

  • Antler

    First institutional investment - a pre-seed round from global early-stage investor Antler Korea (July 2026).

  • NVIDIA Inception Program

    Participation in NVIDIA Inception, with technical support for AI development.

  • Microsoft for Startups (Majung Program)

    Microsoft for Startups (Majung program) - cloud infrastructure support.

  • Google for Startups

    Selected for the Google for Startups program.

  • TIPS

    Selected for the Ministry of SMEs and Startups’ Tech Incubator Program for Startup (TIPS), a private investment-led technology startup support program.

Let's review your production inspection challenges.

Tell us your material, line layout, current inspection and required records. We'll review the scope and validation plan based on site conditions.