Discovered Materials Raises $9M to Use AI Agents for Cooler Chip Materials
Discovered Materials, a startup backed by Y Combinator, has secured $9 million in seed funding from Lightspeed India Partners, with contributions from Peak XV Partners and angel investors including Paul Graham, Gokul Rajaram, and Thariq Shihipar. Founded by Advaith Sridhar and Akash Ramdas, the company focuses on addressing thermal challenges in AI chips by employing AI agents to identify new materials for more efficient integrated circuits. Their software pipeline incorporates Anthropic models alongside custom-trained physics models for candidate simulations. While the startup has pinpointed materials similar to those utilized by leading chip manufacturers, it encounters hurdles related to manufacturing and electrical characteristics. Hemant Mohapatra of Lightspeed emphasizes the necessity for converging properties and expects materials for GPUs to be patented within a year.
Key facts
- Discovered Materials raised $9 million in seed funding from Lightspeed India Partners, with Peak XV Partners and angel investors Paul Graham, Gokul Rajaram, and Thariq Shihipar participating.
- The startup emerged from Y Combinator and was founded by Advaith Sridhar and Akash Ramdas.
- Akash Ramdas holds a doctorate in materials science from Stanford; Advaith Sridhar previously worked at Persona AI and Luma Labs.
- The company uses Anthropic models in a custom harness to generate material leads and trained foundational physics models for verification.
- The founders claim their system can perform thousands of guesses per day, compared to Ramdas' 20 during his PhD.
- Discovered Materials released examples of hundreds of new materials and a 'Material Discovery Bench' to track frontier models.
- Competitors include MatNex, SandboxAQ, and CuspAI, but Discovered Materials focuses on thermal problems in semiconductor materials.
- The startup has discovered materials matching properties of those used by major chipmakers but cannot disclose details.
- Hemant Mohapatra, Lightspeed partner, led the round and described the process as 'playing whack-a-mole with atomic structures.'
- The company plans to patent the use of materials in GPUs or the manufacturing process and license them to chipmakers.
- No AI-discovered drugs or materials have yet made a commercial impact; the closest is Insilico Medicine's Renterosib in Phase II trials.
- Mohapatra believes the bottleneck is filtering and synthesizing candidates, not finding them.
- Sridhar acknowledged that the process will involve wet labs and cannot be sped up.
Entities
Artists
- Advaith Sridhar
- Akash Ramdas
- Paul Graham
- Gokul Rajaram
- Thariq Shihipar
- Hemant Mohapatra
Institutions
- Discovered Materials
- Lightspeed India Partners
- Y Combinator
- Peak XV Partners
- Stanford University
- Persona AI
- Luma Labs
- Anthropic
- MatNex
- SandboxAQ
- CuspAI
- Insilico Medicine
- Panasonic
- Citrine Informatics
- TechCrunch
Locations
- India
- United States