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CrowdWorks Selected as 'M.AX Specialized Company' for AI Data Expertise in Manufacturing and Robotics

IT DAILY ·

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CrowdWorks announced on the 26th that it had been selected as a final KEIT-designated "M.AX specialized company" in recognition of its AI data construction capabilities in the manufacturing and robotics sectors.

M.AX is a manufacturing AI transformation project promoted by the Ministry of Trade, Industry and Energy, and KEIT designates specialized companies after comprehensively evaluating patent ownership, quality certifications such as GS and ISO, and relevant supply records.

CrowdWorks plans to expand its supply of manufacturing AI data solutions into industries such as shipbuilding, robotics, and logistics and to pursue related demonstration projects.

CrowdWorks announced on the 26th that it had been selected as a final KEIT-designated "M.AX specialized company" in recognition of its AI data construction capabilities in the manufacturing and robotics sectors. The full name of M.AX is Manufacturing AI Transformation.

M.AX is a manufacturing AI transformation project promoted by the Ministry of Trade, Industry and Energy, with the goal of strengthening manufacturing competitiveness. KEIT designates specialized companies by comprehensively evaluating on-site application capabilities and technological strength, and the evaluation criteria include patent ownership, quality certifications such as GS and ISO, and relevant supply records.

Backed by the selection, CrowdWorks plans to expand its supply of manufacturing AI data solutions into industries such as shipbuilding, robotics, and logistics. It also plans to actively pursue related demonstration projects.

In this evaluation, CrowdWorks was listed as a data specialized company. As grounds for its data expertise, the evaluation cited High-rated Item 1, "manufacturing AI data construction technology," and High-rated Item 2, "physical AI data platform." "Manufacturing AI data construction technology" was assessed as a technology for customized design and supply of data that reflects the characteristics of manufacturing sites.

CrowdWorks has technology for organizing various types of manufacturing-site data in chronological order and for systematizing data by task unit. Based on this, it supplies precision datasets, which are used for robots' imitation learning of human actions. In this process, the company was noted for turning tacit on-site knowledge, including the experience and know-how of skilled workers, into AI training data assets.

CrowdWorks also structures the entire process from skilled workers' judgment and actions to outcomes on an episode-by-episode basis. Through this, it was evaluated as having implemented high-quality data that AI can learn from immediately. This approach was summarized as structuring manufacturing-site data by sequence and task unit, converting even skilled workers' tacit knowledge into training assets, and supplying precision datasets for robot training.

High-rated Item 2, the "physical AI data platform," was evaluated as a technology that optimizes robot data collection, processing, and verification. The platform is a robotics data specialist platform optimized for VLA model training and provides integrated support from data collection to VLA data verification and large-scale data processing. Its integrated support was also highlighted for improving efficiency.

CrowdWorks was selected as a specialized company in recognition of its proprietary technology patents, its security and quality management system that meets international standards, and its track record in building manufacturing AI data for a range of projects, including state-funded initiatives.

A CrowdWorks official said the selection gives the company momentum to advance its manufacturing and robotics data construction system and lead AI transformation and productivity innovation in South Korea's manufacturing industry. The official added that the company plans to expand its supply of manufacturing AI data solutions to shipbuilding, robotics, and logistics, and will also actively participate in demonstration projects linked to the government's M.AX policy and in efforts to build an industrial ecosystem.

Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241203

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