Bezos Backs AI Startup to Discover New Materials for Chipmaking

Skip to Content News Archives Economy Energy Oil & Gas Renewables Electric Vehicles Mining Commodities Agriculture Real Estate Mortgages Mortgage Rates Finance Banking Insurance Fintech Cryptocurrency Work Wealth Smart Money Wealth Management Investor Personal Finance Family Finance Retirement Taxes High Net Worth FP Comment Executive Women Puzzmo Newsletters Financial Times Business Essentials More Innovation Information Technology FP500 Podcasts Small Business Lives Told Tails Told Shopping Financial Post Store Obituaries Place a Notice Advertising Advertising With Us Advertising Solutions Postmedia Ad Manager Sponsorship Requests Classifieds Place a Classifieds ad Working Profile Settings My Subscriptions Saved Articles My Offers Newsletters Customer Service FAQ News Economy Energy Mining Real Estate Finance Work Wealth Investor FP Comment Executive Women Puzzmo Newsletters Financial Times Business Essentials This advertisement has not loaded yet, but your article continues below.HomePMN BusinessBezos Backs AI Startup to Discover New Materials for ChipmakingProducing the world’s most in-demand semiconductors requires enormous amounts of energy and access to rare minerals. CuspAI, a two-year-old British startup, has raised nearly half a billion dollars on its bet that artificial intelligence can improve that process.Author of the article:Mark Bergen and Akshat Rathi You can save this article by registering for free here. Or sign-in if you have an account.(Bloomberg) — Producing the world’s most in-demand semiconductors requires enormous amounts of energy and access to rare minerals. CuspAI, a two-year-old British startup, has raised nearly half a billion dollars on its bet that artificial intelligence can improve that process. THIS CONTENT IS RESERVED FOR SUBSCRIBERS ONLYSubscribe now to read the latest news in your city and across Canada.Exclusive articles from Barbara Shecter, Joe O'Connor, Gabriel Friedman, and others.Daily content from Financial Times, the world's leading global business publication.Unlimited online access to read articles from Financial Post, National Post and 15 news sites across Canada with one account.National Post ePaper, an electronic replica of the print edition to view on any device, share and comment on.Daily puzzles, including the New York Times Crossword.SUBSCRIBE TO UNLOCK MORE ARTICLESSubscribe now to read the latest news in your city and across Canada.Exclusive articles from Barbara Shecter, Joe O'Connor, Gabriel Friedman and others.Daily content from Financial Times, the world's leading global business publication.Unlimited online access to read articles from Financial Post, National Post and 15 news sites across Canada with one account.National Post ePaper, an electronic replica of the print edition to view on any device, share and comment on.Daily puzzles, including the New York Times Crossword.REGISTER / SIGN IN TO UNLOCK MORE ARTICLESCreate an account or sign in to continue with your reading experience.Access articles from across Canada with one account.Share your thoughts and join the conversation in the comments.Enjoy additional articles per month.Get email updates from your favourite authors.THIS ARTICLE IS FREE TO READ REGISTER TO UNLOCK.Create an account or sign in to continue with your reading experience.Access articles from across Canada with one accountShare your thoughts and join the conversation in the commentsEnjoy additional articles per monthGet email updates from your favourite authorsSign In or Create an AccountOn Monday, CuspAI launched the AI Materials Foundry, a coalition of more than 48 technology giants, industrial firms and research facilities. The goal of this body — whose members include Nvidia Corp., Meta Platforms Inc., and Hyundai Motor Group — is to pool computing and scientific resources with the aim of building software that can help researchers develop new materials for chipmakers and other industries at a faster pace and for a lower cost than today’s methods. To make this work, the Cambridge, UK-based company has raised $450 million in Series B financing from investors including Jeff Bezos’s fund. Chad Edwards, CuspAI’s co-founder and chief executive, said much of that funding will go towards supporting labs with foundry partners in Cambridge, Singapore and the San Francisco Bay area.Get the latest headlines, breaking news and columns.By signing up you consent to receive the above newsletter from Postmedia Network Inc.A welcome email is on its way. If you don't see it, please check your junk folder.The next issue of Top Stories will soon be in your inbox.We encountered an issue signing you up. Please try againOn the research front, he noted, 80% of its efforts this year will go towards material discovery. One of the company’s goals, he added, was to reduce or eliminate the use in chipmaking of rare metals with supply-chain risks, such as ruthenium and iridium.The new funding — led by venture firms Kleiner Perkins and NEA, with “significant participation” from Bezos Expeditions, according to CuspAI — gives the startup a $2.6 billion valuation, up from $520 million last September. Bloomberg and the Financial Times previously reported on elements of the deal.CuspAI initially started out with a focus on finding new materials for carbon capture and water purification. But Edwards said that the company decided to pivot over the past year in response to intense demand from the chip manufacturing supply chain, whose products are critical to powering artificial intelligence. Severe shortages of semiconductors, particularly in memory chips, sank shares last week across a range of tech companies dependent on the hardware. Chipmakers and semiconductor suppliers are “frantically searching for new materials,” Edwards said in an interview. “We’ve been literally pulled by all four limbs.”Geetika Gupta, a senior director at Nvidia, said the chipmaker is seeing huge demand for new materials across its entire market, from energy storage systems to data center cooling. Through the Foundry, Gupta said Nvidia will most likely work on novel materials in “three-way collaborations” between CuspAI and a third partner. “All of these companies, they treat a lot of this information as a secret sauce,” she said.CuspAI is among the growing number of AI developers turning to science to open new markets. Earlier AI systems have shown they can learn from biological data, like protein shapes, to potentially discover new drugs. Newer models can, in theory, sift through huge swaths of molecular data to generate designs for materials that could be useful for manufacturing and renewable energy. Investors have piled into the field to back efforts led by former OpenAI and DeepMind researchers, as well as Prometheus, a $41 billion new company launched by Bezos. Google DeepMind has also indicated that it will soon begin work on material discovery for AI. CuspAI is trying to set itself apart with talent. Max Welling, its other co-founder, is a respected AI researcher. Yann LeCun and Geoffrey Hinton, two pioneers of modern AI techniques, are on the startup’s advisory board. On Monday, the company also named Abhi Talwalkar, a semiconductor veteran and the director of Advanced Micro Devices Inc to the board. AMD’s venture unit joined in the latest round of CuspAI financing. CuspAI moreover said it hired John Giannandrea, a former Google and Apple executive, to work part-time setting up the startup’s California outpost. This advertisement has not loaded yet.This advertisement has not loaded yet, but your article continues below.Machine learning systems have “certainly” sped up the process of developing new materials, said David Fairen-Jimenez, professor of molecular engineering at the University of Cambridge. But he cautioned that designing novel materials that radically improve upon existing ones is a long and expensive process, and AI can only be of limited help. “It’s super useful,” he said. “What I don’t agree with is that there will be some magic coming from machine learning alone.” Fairen-Jimenez has founded two material science startups but doesn’t work with or advise CuspAI.CuspAI is already familiar with how much trial and error goes into AI materials discovery. One of the startup’s early projects involved working with researchers from Meta to find new materials capable of capturing planet-warming carbon dioxide and slowing down climate change. To do this, CuspAI built a library of 300 trillion possible structures within a class of chemicals called metal organic frameworks, or MOFs, which have a metal atom surrounded by carbon-based molecular chains and are especially good at carbon capture. The system then whittled that list down to 10.Turning that theoretical work into useful outcomes proved more difficult. CuspAI was only able to synthesize fewer than 10 of those chemicals, and none outperformed what was already commercially available, said Edwards. “They weren’t state of the art,” he added.But CuspAI hasn’t abandoned this approach. The startup is now using the same library to find new materials capable of removing toxic “forever” chemicals from water. Kemira Oy, a Finnish chemicals company, will try to synthesize and test 20 of these new structures this year.Despite its high-profile partnerships and investors, none of the CuspAI’s projects have delivered a candidate molecule good enough to leave the lab. Yet Welling, the cofounder, isn’t worried. He cites the lack of reliable data, testing facilities and computing power as problems that companies in the field has struggled with — and which CuspAI hopes to address with its foundries. “People underestimate the friction of actually doing the experiment,” he said. “It feels maybe simple, but it’s not at all.”Notice for the Postmedia NetworkThis website uses cookies to personalize your content (including ads), and allows us to analyze our traffic. Read more about cookies here. By continuing to use our site, you agree to our Terms of Use and Privacy Policy.