matforge

Active

AI scientists to discover materials for the semiconductor industry.

Spring 2026Founded 20262 people

matforge.ai/ ↗See on the Idea Map Industrials momentum

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AI Materials DiscoveryServicesSemiconductor fabs and semiconductor companies (Intel, TSMC)Low competition

Moat

AI agents trained on materials science combined with lab partnerships create defensible discovery advantage.

Key risk

Long validation cycles; IP ownership complexity with fabs; reproducibility and real-world validation risk.

Why now

Semiconductor roadmap constraints and advanced node scaling drive demand for faster materials innovation.

Competitors

Emerging space

About

We build AI scientists that 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 Labs), where he built long horizon autonomous agents for major telecom and crypto companies. Power consumption and heat release from AI chips is doubling every year. The semiconductor industry needs new materials to keep this exponential going - Matforge will help find them.

From their website

as of Jun 7, 2026matforge.ai ↗

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Matforge builds AI scientists to discover new materials for the semiconductor industry, aiming to compress the lab-to-fab timeline from years to months. They leverage a swarm of AI agents to find materials suitable for datacenters and fabs, backed by Y Combinator.

They deploy AI-driven agents that perform material discovery workflows in nanoscale electronics, using a swarm of AI agents to explore and evaluate candidate materials with the goal of identifying 10x better alternatives within months instead of years. The offering appears to center on AI-powered material discovery for semiconductors, with a focus on lab-to-fab acceleration and foundation-model fine-tuning/evaluation as part of their internal capabilities.

Who it’s for: Semiconductor companies, data center and fabrication facilities, and organizations involved in materials R&D for electronics

Features

AI agents for material discovery
Swarm-based exploration of materials
Acceleration of lab-to-fab timelines
Fine-tuning and evaluating foundation models for materials
Nanoscale electronics material focus

Backed by Y Combinator; founder team with academic and industry experience

Founders · 2

Akash RamdasFounder

Stanford

Discovering the next silicon using AI scientists. Founder at Matforge MS, PhD, Post-Doc at Stanford - Material Science and Engineering

LinkedIn ↗

Advaith SridharFounder

Carnegie Mellon🎓 IIT

Discovering the next silicon using AI scientists. Founder at Matforge Ex-Research Engineer at Luma Labs. Studied at CMU, IIT-Madras

LinkedIn ↗X ↗

Launch · 1 launch

Matforge - AI Scientists to discover new semiconductor materials · Apr 2026
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Discovering 10x better materials for use in next generation electronic chips
Matforge builds AI agents to accelerate materials discovery for semiconductors, working across candidate generation, synthesis, and physical lab testing to reduce the typical 10+ year discovery timeline.
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