{"id":39228,"date":"2026-07-20T11:00:00","date_gmt":"2026-07-20T09:00:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=234068ded3d73c0ccde993cb3cb379c5"},"modified":"2026-07-20T11:00:00","modified_gmt":"2026-07-20T09:00:00","slug":"cuspai-launches-ai-materials-foundry-a-global-network-to-accelerate-breakthrough-discoveries","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=39228","title":{"rendered":"CuspAI Launches \u2018AI Materials Foundry\u2019 a Global Network to Accelerate Breakthrough Discoveries"},"content":{"rendered":"<ul class=\"bwlistdisc\">\n<li>\nNVIDIA, Meta, Samsung, Hyundai Motor Group, Henkel, Applied Materials, Tokyo Electron and Lam Research among more than 45 founding members<\/li>\n<li>\nAI Materials Foundry brings together compute, data, labs and intelligence for the first time, with regional hubs in the United States, Europe and APAC<\/li>\n<li>\nFocus areas include semiconductors, clean energy and advanced manufacturing<\/li>\n<\/ul><p>CAMBRIDGE, England & SAN FRANCISCO & SINGAPORE--(BUSINESS WIRE)--CuspAI today announced the launch of the AI Materials Foundry, bringing together a global network of data, labs, compute and scientific expertise for the design of new materials, orchestrated by a single agentic platform.<\/p><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260716196996\/en\/2853631\/5\/cusp.ai-logo-black.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260716196996\/en\/2853631\/22\/cusp.ai-logo-black.jpg\" \/><\/a><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260716196996\/en\/2853631\/5\/cusp.ai-logo-black.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260716196996\/en\/2853631\/21\/cusp.ai-logo-black.jpg\" \/><\/a><p>\nOver 45 organizations join as founding members, including NVIDIA, who will provide the compute infrastructure, and Meta\u2019s Fundamental AI Research Team, who develop the Universal Model for Atoms (UMA), a frontier atomistic chemistry model for materials science.<\/p><p>\nCuspAI\u2019s proprietary AI platform, MIRA, sits at the heart of the network, enabling partners to run full discovery cycles \u2013 from generative materials design through simulation, synthesis route planning, and coordinated experimental validation. The platform is underpinned by the largest curated experimental materials datasets in the world.<\/p><p>\nThe collaboration seeks to end the materials bottleneck constraining progress. Semiconductors, clean energy and advanced manufacturing are among the industries facing the same challenge: while the engineering needed for innovation is well understood, the constraint is materials.<\/p><p class=\"bwmarginl1\">\n<i>\u201cIf we don\u2019t make progress fast, the next 50 years of industrial progress will be constrained by a single challenge: the world needs materials that don\u2019t yet exist. That\u2019s what we\u2019re on a mission to solve - combining frontier agentic AI with deep domain expertise, exclusive data access and close customer partnerships. We\u2019re delighted to be joined by more than 45 leaders in their fields to advance materials discovery.\u201d<\/i><\/p><p class=\"bwmarginl1\">\n<b>\u2013 Dr Chad Edwards, CEO and Co-Founder, CuspAI<\/b><\/p><p class=\"bwmarginl1\">\n<i>\"As AI transforms the physical world, new materials will open up new frontiers across semiconductors, energy and advanced manufacturing. The AI Materials Foundry brings NVIDIA accelerated computing infrastructure together with world-class chemistry and materials expertise to help power the next generation of materials discovery.\u201d<\/i><\/p><p class=\"bwmarginl1\">\n<b>\u2013 Ian Buck, Vice President of Hyperscale and HPC, NVIDIA<\/b><\/p><p class=\"bwmarginl1\">\n<i>\"We're proud to be longstanding partners with CuspAI and now as founding members of the AI Materials Foundry ecosystem. Our open source frontier models for materials science research will enable more teams to tackle previously intractable challenges, more precisely and more quickly than before.\"<\/i><\/p><p class=\"bwmarginl1\">\n<b>\u2013 Rob Fergus, Vice President, AI Research and Head of FAIR, Meta<\/b><\/p><p>\n<b>Unlocking AI-powered materials discovery<\/b><\/p><p>\nSoftware-led materials discovery requires four things: high quality training data at scale, to make AI predictions reliable; compute powerful enough to screen at molecular resolution across billions of candidates; synthesis infrastructure to move from digital design to physical reality; and domain expertise to interpret what the machine finds and know what to do with it.<\/p><p>\nCuspAI\u2019s AI Materials Foundry assembles all four, for the first time, providing the production infrastructure for industrial materials discovery. Rather than relying on the physical constraints of a single, isolated laboratory, CuspAI\u2019s ecosystem approach creates a compounding intelligence loop: breakthroughs achieved within the network have potential to accelerate discovery timelines across the entire global value chain.<\/p><p>\nCuspAI brings a track record for accelerating discovery. With a single customer, Finnish chemicals company Kemira, CuspAI was able to screen a search space of 300 trillion potential molecular structures, delivering twenty validated novel candidates for further testing and validation. This process previously took the customer years, while CuspAI\u2019s programme was achieved in six months.<\/p><p>\nOne Foundry project already underway is a new multi-year partnership between CuspAI and the Agency for Science, Technology and Research (A*STAR), Singapore\u2019s lead public sector R&amp;D agency. The collaboration will combine AI-driven discovery with autonomous synthesis capability across semiconductors, carbon capture and advanced electronics.<\/p><p>\n<b>Private, protected, partner-led agentic design<\/b><\/p><p>\nThrough the Foundry programme, members will get to learn about state of the art methods in AI for Science and agentic materials discovery, including how to deploy CuspAI's discovery platform and autonomous scientific agent, MIRA, within their existing R&amp;D infrastructure.<\/p><p>\nA partner defines what they need: a compound with specific thermal stability, a semiconductor with a target bandgap, a catalyst with a defined reaction profile, a polymer meeting a set cost threshold \u2013 and MIRA generates candidate structures using generative models trained on the world's most comprehensive experimental dataset. Capable of running property prediction at scale across millions of candidates, MIRA selects the most promising, designs synthesis routes matched to the available lab infrastructure in the network, and routes the work to the right facility based on capability, geography and throughput. It tracks outcomes, feeds results back into the model, and sharpens its predictions with every cycle.<\/p><p>\nPartner data is protected in private Foundry instances. The platform is designed for industrial confidentiality at the scale of multinational and government operations.<\/p><p>\nAt the simulation layer, the Foundry runs on kUPS: an open source molecular simulation toolkit built by CuspAI in collaboration with the NVIDIA ALCHEMI (AI Lab for Chemistry and Materials Innovation) team and will leverage Meta\u2019s UMA, which enables fast, accurate simulation of atomic interactions across the periodic table. kUPS is integrating with ALCHEMI, enabling a continuous pipeline from candidate generation to physical property prediction at GPU scale.<\/p><p>\nCuspAI\u2019s team, and scientific architecture, were built to solve the material discovery problem. CuspAI CTO and co-founder, Professor Max Welling, co-invented the variational autoencoder (VAE) and the equivariant neural network architectures that now underpin generative molecular design. Chief Scientific Officer, Professor Aron Walsh FRS, is one of the world's foremost computational materials scientists. John Giannandrea, who built and led AI research at Google before serving as Apple's SVP of Machine Learning and AI Strategy, will help set up US foundry operations.<\/p><p>\nThe quality of any AI system for materials discovery is determined almost entirely by the calibre of the data it was trained on. CuspAI has secured exclusive AI training rights to the datasets that make up the foundational experimental records of materials science including the Cambridge Structural Database via CCDC and the Inorganic Crystal Structure Database via FIZ Karlsruhe. It also has licensed access to materials science content from Wiley and other leading publishers of scientific journals. This dataset is paired with frontier atomistic chemistry models from Meta and compounded by every validated experimental result returned through Foundry programmes, ensuring the data advantage widens with each programme completed.<\/p><p>\n<b>FOUNDING PARTNERS<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\n3M<\/li>\n<li>\nAMD<\/li>\n<li>\nApplied Materials<\/li>\n<li>\nASMPT<\/li>\n<li>\nCaelux<\/li>\n<li>\nFujifilm<\/li>\n<li>\nThe Goodyear Tire &amp; Rubber Company<\/li>\n<li>\nHenkel<\/li>\n<li>\nHitachi High-Tech<\/li>\n<li>\nHyundai Motor Group<\/li>\n<li>\nJohnson Matthey<\/li>\n<li>\nJSR Corporation<\/li>\n<li>\nKemira<\/li>\n<li>\nKioxia<\/li>\n<li>\nLam Research<\/li>\n<li>\nLG CNS<\/li>\n<li>\nMerck<\/li>\n<li>\nMeta<\/li>\n<li>\nMitsui Chemicals<\/li>\n<li>\nNVIDIA<\/li>\n<li>\nOxford PV<\/li>\n<li>\nQnity Electronics, Inc<\/li>\n<li>\nResonac<\/li>\n<li>\nSamsung<\/li>\n<li>\nShimadzu<\/li>\n<li>\nSoftBank Corp.<\/li>\n<li>\nTokyo Electron (TEL)<\/li>\n<li>\nTopsoe<\/li>\n<li>\nUmicore<\/li>\n<li>\nUniversal Display Corporation (UDC)<\/li>\n<li>\nVisionPower Semiconductor Manufacturing Company<\/li>\n<\/ul><p>\n<b>LAB NETWORK<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nA*STAR<\/li>\n<li>\nAMOLF<\/li>\n<li>\nATLANT 3D<\/li>\n<li>\nAvantium<\/li>\n<li>\nBig Chemistry<\/li>\n<li>\nCambridge University<\/li>\n<li>\nDutch Institute for Fundamental Energy Research (DIFFER)<\/li>\n<li>\nEindhoven University of Technology<\/li>\n<li>\nHenry Royce Institute<\/li>\n<li>\nhte - the high throughput experimentation company<\/li>\n<li>\nIMEC<\/li>\n<li>\nTechnical University of Denmark (DTU)<\/li>\n<li>\nTyndall National Institute<\/li>\n<li>\nUniversity of Amsterdam<\/li>\n<li>\nVSParticle<\/li>\n<\/ul><p>\n<b>DATA PARTNERS<\/b><\/p><ul class=\"bwlistdisc\">\n<li>\nCCDC<\/li>\n<li>\nICSD and FIZ Karlsruhe<\/li>\n<li>\nWiley<\/li>\n<\/ul><p>\n<b>ABOUT CUSPAI<\/b><\/p><p>\nCuspAI was founded in 2024 by Dr. Chad Edwards and Prof. Max Welling to build the AI system for materials discovery. Through its 'AI Materials Foundry' - a global network of over 45 partners, including NVIDIA and Meta - the company is accelerating breakthrough discoveries in semiconductors, energy, and climate. CuspAI has raised over $650M from investors including Kleiner Perkins, NEA, Temasek, NVentures, Bezos Expeditions, Samsung, and Hyundai Motor Group. Headquartered in Cambridge, UK, the company operates globally across London, Amsterdam, Berlin, Tokyo, Singapore, and the United States. Its advisory board includes Nobel laureate, Geoffrey Hinton; former President and CTO of ASML, Martin van den Brink; and AMD Board Member &amp; Chairman of Lam Research, Abhi Talwalkar.<\/p><p>\n<a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cusp.ai&amp;esheet=54571587&amp;newsitemid=20260716196996&amp;lan=en-US&amp;anchor=www.cusp.ai&amp;index=1&amp;md5=976d5306cbf5b820098ac8a579967066\" rel=\"nofollow\" shape=\"rect\"><b>www.cusp.ai<\/b><\/a><\/p><p>\n<b>Quotes from our partners<\/b><\/p><p>\nHeung-Soo Kim, Executive Vice President and Head of Global Strategy Office, <b>Hyundai Motor Group:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cHyundai Motor Group has been working closely with CuspAI to solve fundamental materials science challenges using AI for Science. As a founding member of the AI Materials Foundry, we are excited to help accelerate breakthroughs in materials innovation and reinforce our global leadership in sustainable next-generation mobility.\u201d<\/p><p>\nSumie Segawa, Vice President &amp; General Manager, Corporate Innovation Division, <b>Tokyo Electron:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cWe believe that the AI Materials Foundry concept could disrupt the current business model in the industry, and we are pleased to have an opportunity to collaborate with them.\u201d<\/p><p>\nYu Cao, Chief AI Officer, <b>Applied Materials:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cBy combining CuspAI\u2019s AI capabilities with Applied Materials' deep expertise in semiconductor process technology, we look forward to dramatically compressing the time it takes to move from concept to viable new materials and unlocking innovation that benefits our customers and the semiconductor industry.\u201d<\/p><p>\nToshihiko Omote, Chief Technology Officer, <b>Mitsui Chemicals:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cAs a founding member, Mitsui Chemicals' expectation of this initiative goes beyond participation in an advanced AI platform \u2014 we see it as an opportunity to structurally strengthen our competitive advantage. We expect that AI-driven materials discovery will significantly enhance the speed of R&amp;D as well as the success rate of new business creation, delivering tangible business value. Through collaboration with CuspAI, NVIDIA, and Meta, we are committed to internalizing cutting-edge technologies and translating these insights into strengthened competitiveness for Mitsui Chemicals.\u201d<\/p><p>\nYoshiaki Shimada, Acting Director, Quantum Information Technology Department, Product Research &amp; Development Division, Technology Unit, <b>SoftBank Corp. :<\/b><\/p><p class=\"bwmarginl1\">\n\u201cWe believe that Physical AI and AI for Science will be key to solving society's most pressing challenges. Advances in materials innovation are essential for breakthroughs in energy, sustainability, next-generation computing, and life sciences. We are excited to join the AI Materials Foundry and help accelerate discovery through the convergence of AI, data, compute, and scientific expertise.\u201d<\/p><p>\nAndreas Schwartz, CEO, <b>ICSD:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cA solid data foundation is crucial for the application of AI in materials research. We are very proud to be able to deliver exactly that with ICSD, a high-quality product in this field.\u201d<\/p><p>\nYoji Ito, Director, Executive Vice President, Chief Technology Officer, <b>FUJIFILM Corporation:<\/b><\/p><p class=\"bwmarginl1\">\n\"Fujifilm is pleased to join the AI Materials Foundry initiative as a founding member. We believe that advanced AI technologies developed by CuspAI can further accelerate the development of next-generation materials and help address complex industrial challenges. We look forward to contributing to the shaping of a new model for innovation in materials R&amp;D.\"<\/p><p>\nHideshi Miyajima, Chief Technology Officer, <b>KIOXIA:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cWe hope this initiative will serve as a great gift to the further advancement of semiconductors, by opening new possibilities in semiconductor memory materials.\u201d<\/p><p>\nKatsuhisa Yoshida, Head of Research Center for Computational Science and Informatics, <b>Resonac:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cResonac is pleased to join the AI Materials Foundry as a founding member. We believe AI has the potential to transform how advanced materials are discovered and developed. By engaging with leading global innovators and bringing our materials perspective to this initiative, we look forward to exploring how emerging AI capabilities can help accelerate the creation of sustainable, high-performance materials.\u201d<\/p><p>\nMichael Nolan, Head of Group, Materials Modelling for Devices and CMOS++ Research Cluster Lead, <b>Tyndall National Institute:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cJoining the AI Materials Foundry is an exciting opportunity to be at the forefront of materials discovery through bringing together scientific expertise, talent, data, computing and AI, to deliver real-world solutions to pressing global challenges.\u201d<\/p><p>\nEd Crossland, Chief Technology Officer, <b>Oxford PV:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cAt Oxford PV, materials innovation is at the heart of our mission to deliver the next generation of high-performance solar technology. We believe AI-driven materials discovery can significantly accelerate the path from scientific insight to commercial impact. Through the AI Materials Foundry, we look forward to contributing our expertise in advanced photovoltaic materials and collaborating with a world-class network of partners to accelerate innovation in clean energy.\u201d<\/p><p>\nPatrick Vandenameele, CEO, <b>imec:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cMaterials innovation sits at the heart of every semiconductor roadmap, and AI is fundamentally changing what\u2019s possible. Joining the AI Materials Foundry initiative of CuspAI is a strong strategic fit for imec. As a world-leading semiconductor R&amp;D centre with deep expertise in both materials and AI, from algorithms to hardware-software co-design, we can contribute both our experimental infrastructure and our compute know-how. We\u2019re excited to help accelerate the discoveries that will shape the next generation of chips, energy systems and sustainable technologies.\u201d<\/p><p>\nBeh Kian Teik, Chief Executive Officer, <b>Agency for Science, Technology and Research (A*STAR):<\/b><\/p><p class=\"bwmarginl1\">\n\u201cAI is transforming how materials research is done, letting scientists explore, test and translate new materials faster than ever before. Combining AI, data and deep scientific expertise can accelerate innovation in areas critical to Singapore's future competitiveness, from semiconductors to advanced manufacturing. A*STAR is pleased to partner with CuspAI to turn frontier materials science into real-world impact.\"<\/p><p>\nSampo Lahtinen, Executive Vice President Research and Innovation, <b>Kemira:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cOur collaboration with CuspAI has shown the real impact AI can have on materials discovery \u2013 screening vast molecular spaces and delivering viable candidates in a fraction of the time. As a founding member of the AI Materials Foundry, Kemira is excited to build on this momentum to accelerate innovation and develop more sustainable materials solutions for water-intensive industries.\u201d<\/p><p>\nArmughan Rafat, Senior Vice President and Chief AI and Data Analytics Officer, <b>Wiley:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cThe next frontier of AI will be defined by the quality of the knowledge that fuels it. CuspAI's AI Materials Foundry is a compelling demonstration of what becomes possible when frontier AI infrastructure meets authoritative, trusted scientific content. We're proud to see Wiley's peer-reviewed literature serve as a foundational layer for breakthroughs that could reshape how the world discovers and develops materials.\"<\/p><p>\nDavid Fried, Chief AI Officer, <b>Lam Research:<\/b><\/p><p class=\"bwmarginl1\">\n\"Materials innovation has become a critical driver of the next wave of AI, and advancing it requires collaboration across the ecosystem\u2014from discovery through manufacturing. By pairing AI-driven discovery with deep process expertise, Lam helps bridge the gap between breakthrough science and real-world semiconductor solutions, empowering our customers to bring the next generation of innovations into existence.\"<\/p><p>\nJulie Brown, Executive Vice President and Chief Technical Officer, <b>Universal Display Corporation:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cUDC is pleased to be a founding member of the AI Materials Foundry. AI and machine learning have become increasingly important tools across the material innovation lifecycle, from discovery and development to process optimization. By combining deep chemistry expertise, decades of leadership in OLEDs, and advanced computational approaches, we believe initiatives like this can help uncover new opportunities across the broader field of organic electronics and accelerate the development of next-generation technologies that deliver unique performance, efficiency, and sustainability benefits.\u201d<\/p><p>\nRandy King, Senior Vice President and Chief Technology Officer,<b> Qnity:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cThe pace of innovation in advanced electronics is closely tied to how quickly new materials can be discovered, developed, and commercialized. We are pleased to join the AI Materials Foundry and collaborate with leaders across materials science, semiconductor manufacturing, and AI to accelerate innovation and help enable the breakthroughs that will shape the future of electronics.\u201d<\/p><p>\nMike Kesti, Senior Vice President of R&amp;D, <b>3M Corporate Research Lab:<\/b><\/p><p class=\"bwmarginl1\">\n\u201c3M has a long history of turning material science into real-world solutions. As a founding member of the AI Materials Foundry, we aim to accelerate how new materials are discovered and scaled - bringing together AI, data, advanced manufacturing, and global expertise to unlock the next wave of innovation.\u201d<\/p><p>\nSuzanna Ward, Executive Director, the <b>CCDC:<\/b><\/p><p class=\"bwmarginl1\">\n\u201cFor over six decades, the CCDC has supported scientific discovery through trusted structural chemistry data, scientific insight and expertise. High-quality scientific data is essential for the effective application of AI in materials research, and we are pleased to be a data partner in CuspAI's AI Materials Foundries initiative. By bringing together data, computation and experimentation, the initiative has the potential to catalyse the discovery and development of new materials.\u201d<\/p><br\/> <b>Contacts<\/b> <br\/><p>\n<b><a  href=\"mailto:communications@cusp.ai\" rel=\"nofollow\" shape=\"rect\">communications@cusp.ai<\/a><\/b><\/p>","protected":false},"excerpt":{"rendered":"<p>NVIDIA, Meta, Samsung, Hyundai Motor Group, Henkel, Applied Materials, Tokyo Electron and Lam Research among more than 45 founding members<\/p>\n<p>AI Materials Foundry brings together compute, data, labs and intelligence for the first time, with regional hu&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-39228","post","type-post","status-publish","format-standard","hentry","category-infos-businesswire"],"_links":{"self":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/39228","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=39228"}],"version-history":[{"count":1,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/39228\/revisions"}],"predecessor-version":[{"id":39230,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/39228\/revisions\/39230"}],"wp:attachment":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=39228"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=39228"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=39228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}