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AI agents

Discovered Materials

We use AI to discover new materials for the semiconductor industry - specifically datacenters and fabs. Finding novel materials today takes 10+ years of lab work. We aim to compress that timeline to months, using a swarm of AI agents. Akash completed his PhD at Stanford on material discovery for semiconductors. The materials he discovered for nanoscale interconnects have been adopted into the roadmaps of Intel and TSMC. Advaith was the founding applied scientist at Persona AI (acquired by Luma L

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #543

We use AI to discover new materials for the semiconductor industry - specifically datacenters and fabs. Finding novel materials today takes 10+ years of lab work. We aim to compress that timeline to months, using a swarm of AI agents. Akash completed his PhD at Stanford on material discovery for semiconductors. The materials he discovered for nanoscale interconnects have been adopted into the roadmaps of Intel and TSMC. Advaith was the founding applied scientist at Persona AI (acquired by Luma L

source
generated read
High Signal interpretation

Discovered Materials is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
semiconductor industrydatacentersAInanoscale interconnectsfabs
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Discovered Materials

AI agents · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Opusense AI

match 46

Opusense AI automates field report writing for construction field inspectors. Instead of typing up notes at the end of the day, inspectors can now walk a site, speak observations aloud, snap photos, and let our AI assistant generate a detailed, organized report on-site and in real time. Combined, the founding team has over 15 years in the construction industry. Writing up these field reports used to take up at least 20% of the week. With Opusense, we cut that time by 5x. Our team combines deep c

shared extracted concept terms: industry; shared product terms: industry, take, year, found; same category: AI agents; shared affiliation: Y Combinator

Outerport

match 43

Building out new LNG plants, HVAC systems, or semiconductor processes rely on hundreds of iterations of feasibility testing (through simulation or real-world lab tests) where different designs (combinations of equipment) and parameters are validated. The parameters are often locked in PDFs (datasheets, wiring diagrams, PFDs/P&IDs) which take thousands of hours to convert into CSVs / JSONs, and the simulators don't have an easy API to work with. Outerport bridges the gap by finding documents from

shared extracted concept terms: semiconductor; shared product terms: semiconductor, find, take, lab; shared affiliation: Y Combinator

Experiment

match 41

Today's funders are so conservative they only fund the most obvious ideas. At Experiment, we fund the ideas that they won't fund; the ideas that matter. Since founding, over 47,000 citizens have pledged $9 million dollars supporting 900 scientific projects on the platform. 46% of all projects on Experiment are successfully funded. When the projects are finished, the scientists share the scientific results with their backers as lab notes and peer-reviewed publications. Scientists from Stanford, H

shared product terms: today, lab, stanford, found; shared affiliation: Y Combinator

NOSO LABS

match 38

In the home services industry, field technicians are expected to handle three key tasks: diagnosing issues, making sales, and completing paperwork. It's rare to find individuals who excel at all three. We build AI agents to support technicians by improving diagnostic accuracy and helping them capture sales opportunities.

shared extracted concept terms: industry; shared product terms: industry, find, complet; same category: AI agents; shared affiliation: Y Combinator

DeepSim, Inc.

match 35

DeepSim is building an AI physics simulator. We are currently developing the only thermal simulator to meet AI chip design needs and are validating our tool with Intel. We are a team of three electrical engineering PhDs from Stanford with backgrounds in semiconductor fabrication and design.

shared extracted concept terms: semiconductor; shared product terms: intel, stanford, semiconductor; shared affiliation: Y Combinator

Beyond Reach Labs

match 33

At Beyond Reach Labs we are building solar panels for Space that grow from the size of a dining table to a football field in orbit. Mitch and Pele met 13 years ago as freshmen at UPenn studying mechanical engineering. Mitch recently got his PhD at Carnegie Mellon working with NASA on kilometer-scale deployable structures, and Pele spent seven years at SpaceX leading Dragon parachute engineering, safely returning astronauts from space. The collective satellites today use around 20MW, roughly the

shared product terms: year, his, phd, today; shared affiliation: Y Combinator