UK startup CuspAI in talks to raise $200 million at a valuation above $1 billion

CuspAI, a British startup that uses AI to discover new materials, is in talks to raise at least $200 million at a valuation above $1 billion. Its existing investors include Singapore's sovereign fund Temasek, which manages $280 billion in assets. The AI approach predicts the properties of new compounds before they are synthesized in the lab. That can speed up the development of next-generation batteries, semiconductors and biocompatible materials.

AI-processed from Bloomberg Tech; edited by Hamidun News
UK startup CuspAI in talks to raise $200 million at a valuation above $1 billion
Source: Bloomberg Tech. Collage: Hamidun News.
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CuspAI, a British startup building AI tools for discovering new materials, is in talks to raise at least $200 million in a new funding round. According to sources familiar with the matter, the deal could value the company at more than one billion dollars, a unicorn status that few deep-tech startups manage to reach in the current investment climate.

CuspAI's existing investors include Singapore's state fund Temasek, one of Asia's largest sovereign funds, with more than $280 billion in assets. Temasek's presence on the cap table gives the startup institutional legitimacy and strategic backing, which matters especially as it moves toward its next growth round. The exact list of new investors taking part in the talks has not yet been disclosed.

CuspAI's core focus is accelerating materials-science discoveries with artificial intelligence. Traditionally, finding a material with the right set of properties, such as high thermal conductivity, mechanical strength and chemical inertness, could take years of lab experiments and sizable budgets. The AI approach can analyze billions of molecular configurations in hours: algorithms predict the physical and chemical properties of new compounds before they are synthesized in the lab. Physical experiments are no longer needed at the search stage, only at the validation stage, which radically changes the economics of research.

The range of applications is huge. AI-driven materials science potentially affects the production of next-generation batteries, semiconductor materials, superconductors for quantum computers, biocompatible implants and thermal-protection coatings for aerospace. Google DeepMind has already announced predicting the structures of 2.2 million new stable crystals with its GNoME model; Microsoft is working on quantum-chemistry-based battery design. CuspAI positions itself as a platform that covers the whole cycle, from predictive modeling to experimental verification, in a single solution for corporate customers and research centers.

A $200 million round at a valuation above a billion would put CuspAI among the most valuable British AI startups of 2026. The UK remains a significant hub for deep-tech AI companies: Wayve, Isomorphic Labs and several other players that have raised large rounds in the past two years are based there. Global investment in AI startups exceeded $100 billion in 2025, and funds' interest in applied AI beyond software continues to grow.

If the talks succeed, it will signal to the market that big capital is willing to bet not only on language models and generative AI, but also on companies using neural networks to solve hard physical problems. Materials science is exactly that kind of field: slow, expensive, with a high barrier to entry and enormous practical value. CuspAI is trying to make it fast.

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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