About Us

A specialized AX transformation partner for small and mid-sized manufacturers

Founded in 2000, IMPIX is a manufacturing-specialized AI company supporting AI Transformation (AX) for small and mid-sized manufacturers. Built on data standardization, its offerings include the A²LAB autonomous manufacturing platform, the B²LAB big data platform and V² AI vision inspection. Since beginning smart factory support projects in 2018 it has accumulated more than 100 tailored deployments, working with around 100 clients across pharmaceuticals, cosmetics, semiconductors and automotive. IMPIX received the Minister Award from the Ministry of SMEs and Startups in 2024, and A²LAB BI holds GS Certification Grade 1.

What we do

Manufacturing sites already hold plenty of data. The problem is that it sits scattered in a different format on every machine, which makes it unusable.

That is where IMPIX starts. We take on the work of collecting equipment data into a standard form, then build predictive maintenance, quality inspection and process optimization models on top of it. We do not stop at delivery — we stay on so the system keeps running on the floor.

We do not believe AI takes root on a shop floor when the technology is handed over and the supplier walks away. Models lose accuracy over time, and equipment and process conditions keep changing.

Track record

Item Figure
Tailored deployments More than 100
Clients Around 100 companies of all sizes
Cumulative delivery Approximately 700 smart factory and autonomous manufacturing projects and solution deliveries
Multi-year share 66% of all deployments run two years or longer

Most engagements are not single-year builds but projects running two years or more, because we also take on operation and refinement after go-live.

History

Year Milestone
2000 Company founded
2008 Renamed; certified as a corporate affiliated research center
2018 Began delivering smart factory support projects
2022 A²LAB BI awarded GS Certification Grade 1
2023 Delivered metaverse factory construction support project
2024 Minister Award, Ministry of SMEs and Startups (Chong Kun Dang Health smart factory project)
2026 Selected for the 21st Hankook Ilbo Digital Innovation Award

Business areas

Smart manufacturing innovation services — design and build across every stage, from data collection to AI deployment

Manufacturing AX strategy consulting — data maturity assessment and adoption roadmap

Manufacturing big data analytics — standardization and analysis of equipment, process and quality data

Smart factory construction and system integration — MES, SCADA and equipment interface integration

Government support programs — planning and delivery of programs such as the Smart Factory Support Project

After-sales support — model retraining and operational maintenance

Certifications and intellectual property

GS Certification, 3 products — A2LAB BI v1.0, TSSP v3.1, PeaceNet S Smart v2.0

Domestic certifications, 5 — Inno-Biz technology innovation SME, Seoul-type strong small business, venture company, corporate affiliated research institute, energy service company

International standards, 2 — ISO 9001 (quality management), ISO 27001 (information security management)

Patents, 31 — registered and filed. 13 AI-related, 10 data-related, 8 other

Registered patents include a federated learning system for manufacturing environments, an AAS-based data collection platform operating method, an edge gateway supporting OPC-UA and PubSub simultaneously, and a question-driven no-code AI standard model solution.

Locations

Alongside the Seoul head office, IMPIX operates a Yangsan R&D center and branches in Busan, Changwon and Gwangju. Manufacturing sites are frequently outside the capital region, so we maintain regional bases to serve them.

Chief executive

Lee Sang-ho serves as chairman of the Korea Autonomous Manufacturing Platform Association (KAMPA). He previously advised the Ministry of Economy and Finance Innovation Growth Headquarters and the Smart Factory subcommittee of the Presidential Committee on the Fourth Industrial Revolution, and has lectured on manufacturing big data collection and analysis at the SME Training Institute.

Vision

Sustainable autonomous manufacturing, realized through a good data pipeline.

We hold that a good data pipeline matters before a good model. AI lasts only when the data beneath it keeps flowing without breaks.