CuspAI Raises $450 Million in Series B Funding at $2.6 Billion Valuation

Product / Tech
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Summary · why it matters

CuspAI, a two-year-old British startup using artificial intelligence to discover new materials, has raised $450 million in Series B financing led by Kleiner Perkins and NEA with significant participation from Jeff Bezos's fund Bezos Expeditions, valuing the Cambridge-based company at $2.6 billion. The company also launched the AI Materials Foundry, a coalition of more than 48 technology companies, industrial firms, and research facilities including Nvidia, Meta Platforms, and Hyundai Motor Group, aiming to accelerate materials development for chipmakers and other industries. CuspAI expects semiconductor projects to represent 80% of its research efforts this year, with possible work on reducing reliance on rare metals like ruthenium and iridium that carry supply-chain risks. Chief Executive Chad Edwards said much of the new funding will support laboratories with Foundry partners in Cambridge, Singapore, and the San Francisco Bay Area, while AMD's venture unit joined the financing round and AMD director Abhi Talwalkar was appointed to CuspAI's board. Despite the high-profile backing, none of CuspAI's projects has yet produced a candidate molecule ready to leave the laboratory, and an earlier collaboration with Meta on carbon-capture materials yielded six synthesized structures that did not outperform commercially available alternatives.

Impact on stocks 4

Artificial Intelligence · 3 stocks
Advanced Micro Devices Inc
AMD
± MixedCapitalrelevance

AMD's venture unit joined the funding round and a director was appointed to CuspAI's board, but no direct impact on AMD's business.

Electrification & Mobility · 1 stocks

Theme Impact 2

Off-coverage companies 4

CuspAIPrivate▲ Positive
Capitalrelevance

CuspAI raised $450M in Series B funding at a $2.6B valuation, with high-profile investors.

Bezos ExpeditionsPrivate± Mixed
relevance

Kleiner PerkinsPrivate± Mixed
relevance

New Enterprise Associates, Inc.Private± Mixed
relevance

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