This article covers a Series A round on 11 September 2025 for CuspAI, a Cambridge-based deep-tech startup using AI to accelerate materials discovery, founded by Max Welling and Dr. Chad Edwards. It raised £73.9m, led by New Enterprise Associates (NEA) with backing from Temasek.
CuspAI provides a platform using artificial intelligence to generate candidate material structures from specified property inputs. Its primary purpose is to accelerate materials discovery by proposing candidate structures that match specified property requirements.
The fight against climate change needs new materials for carbon capture and sustainable technologies. Traditional materials science is painfully slow, often taking years or decades to discover useful compounds.
CuspAI helps by using an AI search engine for molecules to generate practical material candidates from scientist-specified properties. This accelerates discovery, delivering new candidate structures up to ten times faster than traditional methods.
CuspAI raised £73.9m ($100m) in a Series A round, co‑led by New Enterprise Associates (NEA) and Temasek alongside existing backers.
The following are the key investors supporting CuspAI:
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The founders of CuspAI are Professor Max Welling (co‑founder and CTO) and Dr. Chad Edwards (co‑founder and CEO).
CuspAI is based in Cambridge, UK.
CuspAI operates in the materials discovery sector. This sector creates new substances for technologies such as carbon capture and sustainable energy. In simple terms, it finds materials that help make cleaner, more efficient products.
Key trends and challenges in materials science:
Machine learning and generative models are speeding materials discovery, often cutting development time by around tenfold.
Many AI-proposed materials cannot be synthesised at scale and may need rare metals, like some carbon-capture sorbents.
Training models needs large, high-quality datasets and lots of compute, for example GPU clusters, raising energy concerns.
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