Discovered Materials, an AI startup working on semiconductor chip materials, has raised $9 million, or Rs 85 crore, in seed funding. Lightspeed India Partners led the round, with participation from Y Combinator, Peak XV Partners, and angels including Paul Graham, Gokul Rajaram, and Anthropic’s Thariq Shihipar.
Funding backs lab and AI agent expansion
The startup was founded by IIT-Madras alumni Advaith Sridhar and Akash Ramdas. Ramdas holds a Stanford PhD in materials science and has spent 11 years working in chip materials. Sridhar studied AI at Carnegie Mellon and previously worked at Persona AI and Luma Labs.
Discovered Materials plans to use the funding to expand its team, laboratory capabilities, and AI research agents. These agents help researchers identify and test materials that can improve semiconductor performance.
Read More: AI-Native Market Research Startup EchoVane Raises $1M
Finding the right material has often taken years of lab work and repeated testing. It is like waiting for a plumber during a Bengaluru water outage, except the plumbing decides how much power your phone and data centre consume.
Read More: Bakingo Raises Rs 100 Cr at 2.6X Higher Valuation in Series B
AI agents target heat and power challenges
The company has released hundreds of AI-identified materials and launched Material Discovery Bench. The benchmark tests AI agents on real semiconductor material problems.
In plain terms, the software studies scientific data, proposes possible materials, and helps researchers prioritise which options deserve lab testing. This can reduce the time needed to discover and validate materials for chips.
Discovered Materials said its AI created new thermal materials in three months that matched products which took the world’s largest chemical companies years to develop. Thermal materials help chips manage heat, a growing challenge as computing systems become more powerful.
“New materials are how we close that gap,” Ramdas said, referring to the widening gap between computing power and energy efficiency.
Chipmakers seek faster material innovation
Semiconductor companies are under pressure to make chips that use less power and generate less heat. This matters for smartphones, electric vehicles, cloud servers, and AI infrastructure. More efficient chips can also lower cooling needs in data centres.
The startup’s approach combines AI-led material suggestions with laboratory validation. The new capital is expected to support further research and testing as it works with semiconductor material challenges.
Why it matters
India is building a larger semiconductor and AI ecosystem, but material science remains a difficult and time-consuming part of chip innovation. Tools that shorten the discovery cycle could help global chipmakers explore better materials faster.