Building a better chip isn’t just about shrinking transistors anymore. It’s increasingly about finding better stuff to make them out of. Discovered Materials, a San Francisco startup fresh out of Y Combinator’s Spring 2026 batch, just raised $9 million to tackle that exact problem with what it calls “AI scientists,” autonomous agents designed to discover novel materials for semiconductors.
The pitch is straightforward: traditional materials discovery takes over a decade from lab curiosity to production-ready component. Discovered Materials wants to compress that timeline to months by deploying swarms of AI to handle candidate proposals, simulations, and physical testing in rapid succession.
The team and the tech
The company was co-founded by Akash Ramdas and Advaith Sridhar, a pairing that reads like a deliberate fusion of the two disciplines they’re trying to merge. Ramdas holds a PhD and completed a postdoc in materials science at Stanford, where his research led to discoveries of materials for nanoscale interconnects that were subsequently adopted by Intel and TSMC. Sridhar brings the AI chops, with a master’s degree from Carnegie Mellon and prior experience at Persona AI.
The startup, which also operates under the name Matforge in certain contexts, currently has between 2 and 10 employees. Job postings for roles like Founding Process Engineer suggest it’s actively scaling up its team to match the ambition of its $9 million war chest.
