First institutional investment - a pre-seed round from global early-stage investor Antler Korea (June 2026).
ABOUT US
About
AI that proves the quality of every roll you ship. We start from real factory problems and build inspection systems whose results are proven on the floor.
Who We Are
We build inspection tools for roll production lines.
AutoLabs is an AI inspection company for production lines of roll materials such as fabric, paper, and film. A unit installed beside the line photographs the whole roll, the AI finds defects and shows them on screen, and an inspection record is kept for every roll.
Factories still ship defects they can't see, and face disputes they can't prove. Human inspection sees only part of a roll, and a handwritten report has no photo or timestamp to prove the condition at shipment. AutoLabs builds the "quality black box on the line" that fills that gap.
We prove it first on fabric and pulp lines in Korea, then expand overseas - Vietnam, Japan, and beyond - on the strength of those cases.
- Founded
- May 2025
- Offices
- HQ Daegu · Seoul branch
- Team
- 4 co-founders
- Status
- PoC on pulp and fabric lines in Korea
Meet the Team
The people behind AutoLabs.
One designs the unit, one builds the AI, one shapes the product, one goes out to the factory floor. Different jobs, one goal: solving the inspection problem in factories.
Junha Yoo
Chief Executive Officer
David Kim
Chief Operating Officer
Yunseok Oh
Chief AI Officer
Hwichul Shin
Chief Product Officer
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
MAY
AutoLabs Inc. founded
The official start of our industrial vision AI business.
JUN
Patent filed for AI-based automatic fabric defect inspection
Securing intellectual property on our core inspection algorithms.
NOV
MOU with Inha University SW-Centered University Program
Laying the groundwork for research and talent partnerships.
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
JAN
MOU with Daesung TS, Ho Chi Minh City, Vietnam
A partnership secured for on-site validation in Vietnam.
MAR
Named top company in the Pre-Startup Package
Recognized as the highest-performing company in the program.
MAR
Joined the Antler Korea program
Selected for the accelerator cohort of global early-stage investor Antler.
APR
Patent filed for automatic defect clustering and classification
Securing IP on the core technology that clusters and classifies defect types automatically.
APR
Selected for Google for Startups
Joining Google's startup support program.
JUN
Pre-seed investment from Antler Korea
Raised pre-seed funding from global early-stage investor Antler Korea.
JUN
Selected as an NVIDIA Inception Partner
Recognized as an NVIDIA Inception partner for edge AI development.
JUN
Selected for the Majung Program (Microsoft)
Establishing a foundation for collaboration with Microsoft for Startups and other global partners.
Our Roadmap
From technology to proven value.
Step by step: from AI inspection automation to data as an asset, then overseas expansion.
2025
Foundation & AI inspection automation
AutoVision hardware, detection that starts without defect photos, and a real-time inspection screen with inspector confirmation.
KPI · Detection accuracy (AUROC) 96% / 30 m/min
NOW
2026
Smarter inspection & data as an asset
Automatic discovery of never-seen defects, per-roll quality history looked up by QR, and an assistant that knows your work standards.
KPI · Defect classification accuracy 90%+
2027
Full-scale sales & overseas expansion
A fabric optimization assistant, a Southeast Asia base (Vietnam), and a 10% cut in fabric waste through process improvement.
KPI · KRW 550M cumulative revenue
Backed by
Backed by global programs and investors.
Our team and technology have been validated externally.
NVIDIA Inception partner - technical support for AI development on the on-site unit.
Microsoft for Startups (Majung program) - cloud infrastructure support.
Selected for the Google for Startups program.
We'll show you what we build, on your own line.
In a half-day site survey we look at your line layout, fabric types, and how you inspect today, then propose a written validation plan based on your fabric.