CuspAI has unveiled its AI Materials Foundry, a new global ecosystem designed to accelerate the discovery and development of advanced materials through a unified agentic AI platform.

The initiative launches with more than 45 founding organizations, including NVIDIA, Meta’s Fundamental AI Research (FAIR) team, Applied Materials, Tokyo Electron, and Hitachi High-Tech. The Foundry combines data resources, laboratory capabilities, computing infrastructure and scientific expertise into a coordinated network aimed at speeding up materials innovation across industries such as semiconductors, clean energy and advanced manufacturing.

At the center of the Foundry is CuspAI’s proprietary AI platform, MIRA, which enables end-to-end materials discovery workflows. The platform supports generative design, simulation, synthesis planning and experimental validation while leveraging what the company describes as the world’s largest curated experimental materials datasets.

Addressing a Critical Materials Challenge

According to CuspAI, many industries face a common obstacle: the need for new materials capable of supporting future technological advances.

“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,” said Dr. Chad Edwards, CEO and Co-Founder of CuspAI. “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.”

The company said the Foundry provides four key elements required for software-led materials discovery: large-scale training data, powerful computing resources, synthesis infrastructure and scientific expertise. By linking these capabilities through a single network, CuspAI aims to create a continuous feedback loop that accelerates learning and discovery across participating organizations.

NVIDIA and Meta Support Compute and Simulation

NVIDIA is supplying the accelerated computing infrastructure that powers the Foundry, while Meta contributes its Universal Model for Atoms (UMA), an advanced chemistry model designed to simulate atomic interactions across the periodic table.

“As AI transforms the physical world, new materials will open up new frontiers across semiconductors, energy and advanced manufacturing,” said Ian Buck, Vice President of Hyperscale and HPC at NVIDIA.

The Foundry also incorporates kUPS, an open-source molecular simulation toolkit developed by CuspAI in collaboration with NVIDIA’s ALCHEMI team. Together with Meta’s UMA, the technology stack is intended to support large-scale candidate generation and physical property prediction.

Early Momentum and Strategic Partnerships

CuspAI highlighted previous results achieved with Finnish chemicals company Kemira, where the company screened 300 trillion potential molecular structures and identified 20 validated candidates for further testing within six months.

Among the first major Foundry projects is a multi-year collaboration with Singapore’s Agency for Science, Technology and Research (A*STAR), focused on semiconductors, carbon capture and advanced electronics.

The company said partner data remains isolated within private Foundry environments, enabling enterprises and government organizations to pursue AI-driven materials discovery while maintaining confidentiality and control over proprietary research.

23 July 2026