CuspAI Raises $450M at $2.6B Valuation; Launches AI Materials Foundry to Speed Up Discovery

Jan de Vries · 2026-07-20

CuspAI, a Cambridge-based company building an AI system for materials discovery, just announced a massive $450 million Series B funding round at a $2.6 billion valuation. Along with the funding, they launched the AI Materials Foundry, a global network designed to speed up the design of new materials. ### The Funding Details The round was led by Kleiner Perkins and NEA, with big names like Jeff Bezos' Bezos Expeditions getting involved. Other new investors include Glade Brook Capital Partners, Lux Capital, AMD Ventures, Tru Arrow Partners, StepStone, Britain's Sovereign AI Venture Fund, the Netherlands' Invest-NL, and John Doerr. Existing investors like Temasek, Basis Set Ventures, Giant Ventures, Touring Capital, Prosus, Phoenix Court, and Northzone also joined in. This comes less than a year after their Series A, which raised over $100 million and was led by NEA and Temasek. ### Why This Matters Josh Coyne, a Partner at Kleiner Perkins, put it this way: "Most big leaps in technology come down to a material, and the next set, from cheaper carbon capture to semiconductors and cleaner water, is stuck waiting on materials nobody has discovered yet. CuspAI built a search engine that changes that." He added that what sets the team apart is their focus on materials that can actually be built, not just ones a model can dream up. ### How CuspAI Works Founded in 2024 by Dr. Chad Edwards and Prof. Max Welling, CuspAI uses AI to deliver what they call "trillion-dollar materials breakthroughs" in months. Their platform acts like a search engine for materials. Customers specify the exact properties they need, and the system generates new, synthesisable candidates up to 10 times faster than traditional methods. At the heart of this is MIRA, their proprietary AI platform. It lets partners handle everything from generative material design to simulation, synthesis route planning, and experimental validation. The platform runs on the largest curated experimental materials datasets in the world. ### The AI Materials Foundry The AI Materials Foundry brings together a global network of data, labs, computing power, and scientific expertise. It's all orchestrated through a single agentic platform. More than 45 organizations have already signed on as founding members, including NVIDIA, Meta, Samsung, Hyundai Motor Group, Henkel, Applied Materials, Tokyo Electron, and Lam Research. These companies span the United States, Asia-Pacific, and Europe. NVIDIA is providing the compute infrastructure, while Meta's Fundamental AI Research Team is contributing the Universal Model for Atoms (UMA), a frontier atomistic chemistry model for materials science. ### Solving the Materials Bottleneck CuspAI says the goal is to end the materials bottleneck that's holding back progress in industries like semiconductors, clean energy, and advanced manufacturing. The engineering for innovation is there, but the materials needed to make it happen just don't exist yet. Dr. Chad Edwards, CEO and co-founder, explained: "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." ### The Four Pillars of Software-Led Discovery CuspAI breaks down what's needed for software-led materials discovery into four things: - High-quality training data at scale to make AI predictions reliable. - Compute power strong enough to screen at molecular resolution across billions of candidates. - Synthesis infrastructure to move from digital design to physical reality. - Domain expertise to interpret what the machine finds. With this approach, the company is aiming to change how we discover new materials. And given the investors and partners they've attracted, it looks like they've got a real shot at it.