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Discovered Materials

YC X26

San Francisco, US · Founded 2026 · 2 employees · Hiring · 15 known investors

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Discovered Materials develops AI agents that accelerate materials discovery for semiconductor manufacturing, targeting datacenters and fabrication facilities. The company aims to find novel materials in months rather than years through AI-driven research combined with deep materials science expertise.

Also known as Matforge, Inc. · matforge · Matforge · MatForge · MatForge, Matforge, matforge

Advanced ManufacturingAI & Machine LearningNew MaterialsSemiconductorsAIUnited States of AmericaAmerica / Canada

Founders & leadership· Y Combinator alumni (X26)

Discovered Materials was founded in 2026 by Advaith Sridhar and Akash Ramdas.

ASAdvaith Sridhar
Advaith SridharCo-FounderAdvaith Sridhar is a research engineer who previously worked at Luma Labs and studied at Carnegie Mellon University and IIT Madras. He is now building AI tools for materials discovery.
ARAkash Ramdas
Akash RamdasCo-FounderAkash Ramdas previously founded Matforge and holds advanced degrees in materials science and engineering from Stanford, including a master's degree, PhD, and postdoctoral fellowship. He is now working on AI-driven materials discovery.

Investors · 15

Y Combinatorlisted by Y CombinatorSan Francisco · $500K

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CHEPSTOW CAPITAL GmbHreported

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FJ LabsreportedNew York · $100K – $3M

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Forward Future Capitalreported

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GaingelsreportedNew York · $200K – $500K

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Lightspeed India PartnersreportedBengaluru

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Lightspeed Venture PartnersreportedMenlo Park · $1M – $5M

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Metsu Capitalreported

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MyAsiaVCreportedSeattle

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OurCrowdreportedJerusalem

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Peak XV PartnersreportedBengaluru · $100K – $10M

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Radiant Venture CapitalreportedHong Kong

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RobinhoodreportedMenlo Park

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Sync.VCreported

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Related companies · 9

Standard MachinesStandard Machines is building reinforcement learning environments for long-horizon chip design tasks. Its first product targets the semiconductor design workflow using RL-based methods.
Visibl SemiconductorsVisibl Semiconductors handles end-to-end custom chip design, verification, and manufacturing for hardware companies in robotics, drones, industrial, and IoT sectors that cannot afford traditional semiconductor development costs.
Dipole LabsDipole Labs develops photonic (optical) hardware intended to serve as the optical layer for AI and quantum computing infrastructure, aiming to overcome the physical limits of silicon in speed, density, and efficiency. The company targets AI and quantum infrastructure providers.
EnthoughtEnthought provides scientific computing services, enterprise scientific software development, and digital transformation for science, applying Python, AI/machine learning, and simulation to research and R&D problems. It serves organizations in sectors such as pharmaceuticals, materials, and semiconductors, with operations in the U.S. and Japan.
Lamb LabsLamb Labs develops custom silicon chips and a post-training technique that converts existing language models to a diffusion-based architecture for faster AI inference at lower power. It targets developers and companies running large language model workloads in the AI hardware and infrastructure space.
MartianMartian is an AI research lab focused on understanding machine intelligence, working on model interpretability, feature geometry, and the mathematics of what large language models learn. It commercializes its interpretability research through products that scale with LLM usage.
DeepSim, Inc.DeepSim provides a physics simulation platform that automates complex setup procedures to accelerate engineering design workflows. The platform uses GPU-accelerated computation to enable engineers to run simulations at unprecedented scale without sacrificing accuracy.
MatxComputer chip manufacturer building high-performance, cost-efficient platforms optimized for large-scale AI workloads.
MatnexMatNex is a materials design company that uses first-principles computation, machine learning, and materials engineering to design new materials to customer-specified performance and cost targets, and owns the resulting material IP. It is starting with rare-earth-free magnets for industries such as EVs, wind turbines, data storage, and electronics, with plans to expand into fluids, semiconductors, batteries, and superconductors.

Companies working in the same space as Discovered Materials.

Legal entities · 1

corporate structure
Matforge, Inc.

In the news

Discovered Materials is playing AI whack-a-mole to hunt cooler chipstechcrunch.com · Aug 2026Matforge - AI Scientists to discover new semiconductor materialsycombinator.com · Apr 2026

Frequently asked questions

What does Discovered Materials do?
Discovered Materials develops AI agents that accelerate materials discovery for semiconductor manufacturing, targeting datacenters and fabrication facilities. The company aims to find novel materials in months rather than years through AI-driven research combined with deep materials science expertise.
Who founded Discovered Materials?
Discovered Materials was founded by Advaith Sridhar, Akash Ramdas in 2026.
Who are Discovered Materials's investors?
Discovered Materials's investors include Transpose Platform Management, Y Combinator, CHEPSTOW CAPITAL GmbH, FJ Labs, Forward Future Capital, Gaingels, Lightspeed India Partners, Lightspeed Venture Partners and 7 more.
Where is Discovered Materials headquartered?
Discovered Materials is headquartered in San Francisco, US.