Discovered Materials is playing AI whack-a-mole to hunt cooler chips
Startup Discovered Materials has raised $9 million to use AI agents for identifying new materials that can improve semiconductor cooling. The company aims to solve thermal efficiency issues in data centers by automating the discovery process.
Why it matters
As AI workloads increase energy consumption and heat generation, finding new materials for more efficient chips is critical for the future of computing infrastructure.
Chips running AI workloads are too hot: That’s one reason why data centers consume so much electricity and require cooling systems. And, inevitably, entrepreneurs are turning to AI to solve the problem it created.
Discovered Materials is the latest, with plans to use swarms of AI agents to find new materials that can be used to build more efficient integrated circuits. The startup said it recently closed a $9 million seed round from Lightspeed India Partners after emerging from from Y Combinator, with investment from Peak XV Partners and angel investors Paul Graham, Gokul Rajaram, and Thariq Shihipar.
Founders Advaith Sridhar and Akash Ramdas teamed up to launch the company, drawing on Ramdas’ experience earning a doctorate in materials science from Stanford, and Sridhar’s work on agents at Persona AI and Luma Labs.
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