AI Materials Foundry officially launches as CuspAI announces the launch of a global innovation network to revolutionize scientific materials discovery The AI Materials Foundry is a convergence of artificial intelligence, advanced computing, research labs and scientific expertise via one platform.” The AI Materials Foundry will also speed breakthroughs in semiconductors, clean energy and advanced manufacturing.
CuspAI has announced the formation of the AI Materials Foundry, bringing together over 45 founding organizations from across the technology and industrial sectors. The initiative connects computer infrastructure, experimental data, labs and scientific intelligence through a single agentic platform, with regional hubs in the U.S., Europe and Asia-Pacific.
Founding members include Applied Materials, Henkel, Hyundai Motor Group, Lam Research, Meta, NVIDIA, Samsung and Tokyo Electron. NVIDIA will provide the computing infrastructure that will be the backbone of the platform. At the same time, the Fundamental AI Research team at Meta adds the Universal Model for Atoms (UMA), a state-of-the-art atomistic chemistry model for materials science research.
Central to the effort is CuspAI’s proprietary AI platform, MIRA. “The platform lets companies do the whole materials discovery process. It supports generative material design, molecular simulation, synthesis planning and collaborative laboratory validation. MIRA also works with one of the world’s largest curated experimental materials datasets.
The collaboration tackles one of the industry’s biggest innovation challenges. The engineering capabilities are moving forward, but the progress of technology is frequently hampered by suitable materials. So AI Materials Foundry is trying to solve this bottleneck using AI for scientific discovery.
“If we don’t make progress fast, the next 50 years of industrial progress will be constrained by a single challenge: the world needs materials that don’t yet exist. That’s what we’re on a mission to solve – combining frontier agentic AI with deep domain expertise, exclusive data access and close customer partnerships. We’re delighted to be joined by more than 45 leaders in their fields to advance materials discovery.” – Dr Chad Edwards, CEO and Co-Founder, CuspAI
Global Collaboration Advances AI-Powered Materials Innovation
Ian Buck, Vice President of Hyperscale and HPC at NVIDIA, highlighted the role of accelerated computing in scientific research.
“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.” – Ian Buck, Vice President of Hyperscale and HPC, NVIDIA
“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.” – Rob Fergus, Vice President, AI Research and Head of FAIR, Meta
The AI Materials Foundry combines four key capabilities that enable software-driven discovery of new materials. These include high quality scientific data sets, GPU computing, laboratory synthesis infrastructure and specialized scientific expertise. This allows companies to transition from digital design to physical validation efficiently.
CuspAI has shown the platform’s capabilities with Finnish chemicals.
CuspAI already proved the platform’s capabilities in its collaboration with Finnish chemicals company Kemira. The company screened nearly 300 trillion possible molecular frameworks during the course of the project. Therefore, researchers identified 20 validated new candidates within six months. In the past, completing the same process took several years.
One Foundry initiative is already underway in a multi-year partnership with Singapore’s Agency for Science, Technology and Research (A*STAR). The partnership on semiconductor, carbon capture technologies and advanced electronics will use AI-driven discovery and autonomous synthesis.
Foundry users can set material requirements for thermal stability, semiconductor performance, catalyst behavior, polymer properties, or manufacturing cost. MIRA then proposes candidate materials, predicts their properties, plans synthesis routes, and assigns laboratory testing according to capability and location. Constant learning makes each experiment’s result more accurate for future predictions.
CuspAI and NVIDIA’s ALCHEMI team jointly developed the open-source molecular simulation toolkit kUPS, which powers the simulation infrastructure. The platform also leverages Meta’s UMA model to enable fast and accurate atomic simulations across the periodic table.
CuspAI is also supporting the initiative by providing exclusive AI training rights to major scientific datasets, including the Cambridge Structural Database via CCDC and the Inorganic Crystal Structure Database via FIZ Karlsruhe. The company also licenses materials science content from Wiley and other leading scientific publishers, which means that AI-powered materials discovery will continue to improve.
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News Source: Businesswire.com
