UK manufacturing software company, Valuechain, has announced the formation of a strategic partnership with Korean manufacturing company, Clad Korea Co. Ltd. to bring its solutions to the East Asian additive manufacturing (AM) marketplace.
The partnership was established at the inaugural TCT Korea exhibition in Changwon earlier this month and signed just days later. With sites in Pohang, Gyeongju, Wonju Korea and Dubai in the UAE, Clad Korea is set to become a customer, distributor, and resale partner of Valuechain’s flagship DNAam production control software.
Developed in collaboration with Airbus UK, and already commercially available in the UK, Europe and US, Valuechain’s DNAam software address niche requirements of the AM production process including managing AM build planning and providing complete powder traceability, with batch splitting, control of blending and powder recovery management.
Jim Walters, DNAam Ltd. Managing Director commented: “After proving out our DNAam software with Airbus UK and companies in UK and Europe, we’re delighted to begin this partnership with such a well-respected company in Asia, to deliver best practice additive manufacturing production processes to companies looking to enter and grow in this flourishing sector.”
Brandon Lee, CEO of Clad Korea Co. Ltd. added: “Valuechain’s DNAam technology is a unique offering to the market, with great potential to enable rapid and mass production of additive manufactured parts. As we look to enter the additive manufacturing market ourselves, we believe this product will give us a competitive advantage in the industry, and we’re excited to be able to contribute to the growth of this technology in Asia by helping to deliver this solution throughout South Korea.”
Valuechain recently announced their plans to develop artificial intelligence into its DNAam solution in the next 5 years to optimise AM production. Valuechain received 960,000 GBP funding from UK Research & Innovation to further develop the platform to optimise processes by analysing multiple data sources.