To support the adoption of AI by small and medium-sized manufacturing companies
Established AI Manufacturing Online Market KAMP Launches on the 14th


The Korea AI Manufacturing Platform (KAMP) has begun full-scale operation.

The Ministry of SMEs and Startups announced on the 15th that it held an opening ceremony for the KAMP service portal at KAIST in Daejeon on the 14th and demonstrated the process of analyzing actual smart factory data with AI.
Last July, the Ministry of SMEs and Startups announced plans to advance smart factories centered on data and AI by establishing KAMP based on a private cloud through the strategy for the advancement of manufacturing innovation for SMEs based on AI and data.

KAMP is a comprehensive platform that supports the adoption of AI by small and medium-sized manufacturing companies by bringing together in one place data storage and analysis infrastructure, AI development and utilization tools, AI datasets and standard models, commercialized AI manufacturing services, and expert consulting and training services—all of which are difficult for these companies to acquire on their own.

Cloud, AI, and software specialized organizations such as NHN, KT, KAIST, IVE Lab, T3Q, ScoInfo, and MI Cube Solution participated in the construction of KAMP, which began last September. Since last November, when the cloud system was completed, high-performance computing resources such as GPUs and data storage space have been provided free of charge to companies participating in AI solution demonstration projects and smart factory construction support projects.

With the opening of this service portal, KAMP has come to provide services such as AI training datasets and analysis models for 12 types of core equipment used in small and medium-sized manufacturing companies, including computer numerical control (CNC) equipment and injection molding machines, benchmarking cases of AI utilization in small and medium-sized manufacturing companies, step-by-step online lectures ranging from smart factory concepts to AI and data utilization, and methods for applying for cloud infrastructure.

The demonstration showcased the process of inspecting product defects using the KAMP AI analysis tool, utilizing actual production data from Chosun Refractories in Gwangyang, Jeollanam-do. The process proceeded in the following order: uploading training data, AI training and analysis model creation, uploading actual production data, executing the AI analysis model, and verifying the analysis results.

Minister Park Young-sun of the Ministry of SMEs and Startups personally participated in the AI model creation stage. We confirmed that even people without specialized knowledge could easily and quickly generate an AI model using only mouse operations, and that the final analysis results accurately identified whether a product was defective.

KAIST President Shin Sung-chul stated, “We plan to continuously add and improve the functions and content of the service portal to reflect the needs of small and medium-sized enterprises,” adding, “We will spare no support to ensure that KAMP becomes the world’s best AI manufacturing platform.”

Minister Park Young-sun of the Ministry of SMEs and Startups explained, “KAMP is still in its initial stages,” adding, “Starting in the second half of next year, we plan to operate a solution store where manufacturing companies can select and utilize various AI manufacturing solutions to expand AI manufacturing in earnest.”

He also outlined the future policy direction, stating, “Ultimately, we will open the era of the protocol economy by establishing a ‘My Manufacturing Data’ system in which manufacturing data is shared and traded and profits are divided according to agreed protocols among KAMP participants.”

Meanwhile, the launch ceremony for the Korea AI Manufacturing Initiative (KAMP.AI), with 17 institutions participating in the board of directors, was also held at the event. Following a founding general meeting on November 11, it received approval for establishment from the Ministry of SMEs and Startups on December 11, and Cha Sang-kyun, Dean of the Graduate School of Data Science at Seoul National University, took office as the first chairman.