Bezos backs CuspAI's $450M raise as startup launches AI Materials Foundry with Nvidia and Meta

CuspAI Secures $450 Million to Build Search Engine for Rare Materials

CuspAI, a Cambridge-based startup, has closed a $450 million Series B funding round that values the two-year-old company at $2.6 billion 1

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. The round was led by Kleiner Perkins and NEA, with significant participation from Jeff Bezos through Bezos Expeditions 2

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. Additional investors include Glade Brook Capital Partners, Lux Capital, AMD Ventures, and Britain's Sovereign AI Venture Fund, with existing backers Temasek and Prosus also participating 4

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. This marks a dramatic jump from the company's $520 million valuation in September, following a Series A of more than $100 million less than a year ago [5](https://www.siliconrepublic.com/start-ups/cambridges-cuspai-l aunches-ai-materials-foundry-confirms-450m-raise).

AI Materials Foundry Unites Industry Giants for Materials Push

Coinciding with the funding announcement, CuspAI launched the AI Materials Foundry, a coalition bringing together more than 45 companies and research labs 2

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. Founding partners include Nvidia, Meta, Samsung, Hyundai Motor Group, Applied Materials, Tokyo Electron, and Lam Research 3

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. The initiative pools computing resources, laboratory access, and scientific expertise to accelerate the discovery of new materials using AI 4

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. This AI materials push addresses what co-founders Dr. Chad Edwards and Prof Max Welling describe as the "single challenge" constraining the next 50 years of industrial progress: the world needs materials that don't yet exist [5](https://www.siliconrepublic.com/start-ups/cambridges-cuspai-l aunches-ai-materials-foundry-confirms-450m-raise).

How AI to Simulate Novel Materials Changes Discovery Timeline

CuspAI's platform, MIRA, uses AI to simulate the performance of novel materials, running the full discovery cycle from generation to laboratory testing 2

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. The AI-driven software narrows the huge number of material possibilities for laboratory testing, compressing work that normally takes years 1

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. Josh Coyne, partner at Kleiner Perkins, explained that CuspAI built a search engine that changes how materials discovery happens, noting that "most big leaps in technology come down to a material" 3

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. What distinguishes this AI-driven materials discovery startup is its focus on designing materials that can actually be built, not just ones a model can dream up [5](https://www.siliconrepublic.com/start-ups/cambridges-cuspai-l aunches-ai-materials-foundry-confirms-450m-raise).

Targeting Chipmaking Materials and Material Shortages

The startup aims to cut or eliminate the use of rare metals in chipmakers' supply chains, specifically targeting iridium and ruthenium 2

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. Beyond semiconductors, CuspAI is pursuing breakthroughs in clean energy, batteries, carbon capture, and water purification 1

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. The company combines frontier AI to accelerate material discovery with deep domain expertise, exclusive data access, and close customer partnerships 3

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. This approach using generative AI and molecular simulation represents a shift in how science gets done, pointing AI at hard scientific discovery challenges 2

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UK Government Stakes Claim in AI Materials Discovery

CuspAI is the fourth company backed by the UK government's Sovereign AI Venture Fund, which invests between £1 million and £10 million in early-stage British firms 2

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. The fund only backs companies with a UK head office and British founders 3

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. Science and technology secretary Liz Kendall stated that CuspAI is putting the power of AI to work to tackle some of the biggest challenges facing the UK and the world 2

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. For a government keen to keep home-grown AI at home, a $2.6 billion Cambridge company serves as a useful demonstration of British AI capabilities on the global stage.

Global Expansion and Industry Veterans Join Mission

Much of the new funding will support lab operations in Cambridge, Singapore, and the San Francisco Bay Area, with CuspAI opening offices across multiple continents 4

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. The company is adding staff in Cambridge, Amsterdam, Berlin, Tokyo, and the US 3

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. John Giannandrea, a former Apple and Google executive, is helping establish US operations, while Abhi Talwalkar, an AMD board member and chair of Lam Research, joins the advisory board 2

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. The company's existing advisers include AI pioneers Yann LeCun and Geoffrey Hinton 2

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. The Foundry now must prove its models can find materials that survive contact with real laboratories, with its 45-plus partners betting they will deliver on the promise of AI-driven materials revolution.