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Discovered Materials Raises $9 Mn to Solve Silicon’s Overheating Problem
Discovered Materials Raises $9 Mn to Solve Silicon’s Overheating Problem

Discovered Materials Raises $9 Mn to Solve Silicon’s Overheating Problem

The round saw participation from Peak XV Partners and angels Paul Graham, Gokul Rajaram, and Thariq Shihipar.

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Key takeaways

  • Discovered Materials has raised $9 million to address the overheating challenges in semiconductor applications.
  • The company uses AI to rapidly identify new materials for improving chip thermal efficiency.
  • Founded by Advaith Sridhar and Akash Ramdas, the startup emerged from Y Combinator.
  • Discovered Materials operates in a competitive landscape, focusing on thermal solutions in semiconductor manufacturing.
  • The AI-powered system can generate thousands of material candidates daily, significantly enhancing the discovery process.
5 min

Discovered Materials, a materials science startup using AI agents to identify new materials for semiconductor applications, has raised $9 million in a seed round led by Lightspeed India Partners.

The round also saw participation from Peak XV Partners and angel investors including Paul Graham, Gokul Rajaram, and Thariq Shihipar. The startup emerged from Y Combinator and was founded by Advaith Sridhar and Akash Ramdas.

The company is targeting one of the growing challenges in AI infrastructure: heat. As AI workloads become more computationally intensive, chips generate increasing amounts of heat, driving demand for electricity-intensive cooling systems in data centres.

Discovered Materials is building an AI-powered software pipeline designed to accelerate the search for materials that could make chips more thermally efficient. The system uses Anthropic models through a custom framework to generate potential material candidates, which are then evaluated using physics models developed by the company to simulate and validate their properties.

In a post on X, Sridhar said the system can generate thousands of material candidates a day, compared with the roughly 20 guesses a day that co-founder Ramdas was able to explore during his doctoral research at Stanford.

The startup has also released examples of hundreds of newly identified materials and a Material Discovery Bench designed to evaluate how advanced AI models perform on materials-discovery problems.

Discovered Materials is entering a competitive field that includes companies such as MatNex, SandboxAQ, and CuspAI, which are also applying AI to materials discovery. However, the startup is focusing specifically on materials that could address thermal challenges in semiconductor manufacturing.

“A material is only useful in the real world if all of them converge at once,” Hemant Mohapatra, Partner at Lightspeed, which led the round, told TechCrunch, describing the process as “playing whack-a-mole with atomic structures.”

The company claims to have already identified several materials that match properties of existing materials used by major chipmakers, although it has not disclosed details of those candidates.

Discovered Materials plans to pursue patents covering potential uses of its materials in GPUs or the processes required to manufacture chips using them. Sridhar expects the company to have new materials that are ready for patenting within the next year.

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